# | ID | Image | Mask | diagnostics_Versions_PyRadiomics | diagnostics_Versions_Numpy | diagnostics_Versions_SimpleITK | diagnostics_Versions_PyWavelet | diagnostics_Versions_Python | diagnostics_Configuration_Settings | diagnostics_Configuration_EnabledImageTypes | diagnostics_Image-original_Hash | diagnostics_Image-original_Dimensionality | diagnostics_Image-original_Spacing | diagnostics_Image-original_Size | diagnostics_Image-original_Mean | diagnostics_Image-original_Minimum | diagnostics_Image-original_Maximum | diagnostics_Mask-original_Hash | diagnostics_Mask-original_Spacing | diagnostics_Mask-original_Size | diagnostics_Mask-original_BoundingBox | diagnostics_Mask-original_VoxelNum | diagnostics_Mask-original_VolumeNum | diagnostics_Mask-original_CenterOfMassIndex | diagnostics_Mask-original_CenterOfMass | diagnostics_Image-interpolated_Spacing | diagnostics_Image-interpolated_Size | diagnostics_Image-interpolated_Mean | diagnostics_Image-interpolated_Minimum | diagnostics_Image-interpolated_Maximum | diagnostics_Mask-interpolated_Spacing | diagnostics_Mask-interpolated_Size | diagnostics_Mask-interpolated_BoundingBox | diagnostics_Mask-interpolated_VoxelNum | diagnostics_Mask-interpolated_VolumeNum | diagnostics_Mask-interpolated_CenterOfMassIndex | diagnostics_Mask-interpolated_CenterOfMass | diagnostics_Mask-interpolated_Mean | diagnostics_Mask-interpolated_Minimum | diagnostics_Mask-interpolated_Maximum | original_shape_Elongation | original_shape_Flatness | original_shape_LeastAxisLength | original_shape_MajorAxisLength | original_shape_Maximum2DDiameterColumn | original_shape_Maximum2DDiameterRow | original_shape_Maximum2DDiameterSlice | original_shape_Maximum3DDiameter | original_shape_MeshVolume | original_shape_MinorAxisLength | original_shape_Sphericity | original_shape_SurfaceArea | original_shape_SurfaceVolumeRatio | original_shape_VoxelVolume | original_firstorder_10Percentile | original_firstorder_90Percentile | original_firstorder_Energy | original_firstorder_Entropy | original_firstorder_InterquartileRange | original_firstorder_Kurtosis | original_firstorder_Maximum | original_firstorder_MeanAbsoluteDeviation | original_firstorder_Mean | original_firstorder_Median | original_firstorder_Minimum | original_firstorder_Range | original_firstorder_RobustMeanAbsoluteDeviation | original_firstorder_RootMeanSquared | original_firstorder_Skewness | original_firstorder_TotalEnergy | original_firstorder_Uniformity | original_firstorder_Variance | original_glcm_Autocorrelation | original_glcm_JointAverage | original_glcm_ClusterProminence | original_glcm_ClusterShade | original_glcm_ClusterTendency | original_glcm_Contrast | original_glcm_Correlation | original_glcm_DifferenceAverage | original_glcm_DifferenceEntropy | original_glcm_DifferenceVariance | original_glcm_JointEnergy | original_glcm_JointEntropy | original_glcm_Imc1 | original_glcm_Imc2 | original_glcm_Idm | original_glcm_Idmn | original_glcm_Id | original_glcm_Idn | original_glcm_InverseVariance | original_glcm_MaximumProbability | original_glcm_SumEntropy | original_glcm_SumSquares | original_glrlm_GrayLevelNonUniformity | original_glrlm_GrayLevelNonUniformityNormalized | original_glrlm_GrayLevelVariance | original_glrlm_HighGrayLevelRunEmphasis | original_glrlm_LongRunEmphasis | original_glrlm_LongRunHighGrayLevelEmphasis | original_glrlm_LongRunLowGrayLevelEmphasis | original_glrlm_LowGrayLevelRunEmphasis | original_glrlm_RunEntropy | original_glrlm_RunLengthNonUniformity | original_glrlm_RunLengthNonUniformityNormalized | original_glrlm_RunPercentage | original_glrlm_RunVariance | original_glrlm_ShortRunEmphasis | original_glrlm_ShortRunHighGrayLevelEmphasis | original_glrlm_ShortRunLowGrayLevelEmphasis | original_glszm_GrayLevelNonUniformity | original_glszm_GrayLevelNonUniformityNormalized | original_glszm_GrayLevelVariance | original_glszm_HighGrayLevelZoneEmphasis | original_glszm_LargeAreaEmphasis | original_glszm_LargeAreaHighGrayLevelEmphasis | original_glszm_LargeAreaLowGrayLevelEmphasis | original_glszm_LowGrayLevelZoneEmphasis | original_glszm_SizeZoneNonUniformity | original_glszm_SizeZoneNonUniformityNormalized | original_glszm_SmallAreaEmphasis | original_glszm_SmallAreaHighGrayLevelEmphasis | original_glszm_SmallAreaLowGrayLevelEmphasis | original_glszm_ZoneEntropy | original_glszm_ZonePercentage | original_glszm_ZoneVariance | original_gldm_DependenceEntropy | original_gldm_DependenceNonUniformity | original_gldm_DependenceNonUniformityNormalized | original_gldm_DependenceVariance | original_gldm_GrayLevelNonUniformity | original_gldm_GrayLevelVariance | original_gldm_HighGrayLevelEmphasis | original_gldm_LargeDependenceEmphasis | original_gldm_LargeDependenceHighGrayLevelEmphasis | original_gldm_LargeDependenceLowGrayLevelEmphasis | original_gldm_LowGrayLevelEmphasis | original_gldm_SmallDependenceEmphasis | original_gldm_SmallDependenceHighGrayLevelEmphasis | original_gldm_SmallDependenceLowGrayLevelEmphasis | original_ngtdm_Busyness | original_ngtdm_Coarseness | original_ngtdm_Complexity | original_ngtdm_Contrast | original_ngtdm_Strength | log-sigma-1-0-mm-3D_firstorder_10Percentile | log-sigma-1-0-mm-3D_firstorder_90Percentile | log-sigma-1-0-mm-3D_firstorder_Energy | log-sigma-1-0-mm-3D_firstorder_Entropy | log-sigma-1-0-mm-3D_firstorder_InterquartileRange | log-sigma-1-0-mm-3D_firstorder_Kurtosis | log-sigma-1-0-mm-3D_firstorder_Maximum | log-sigma-1-0-mm-3D_firstorder_MeanAbsoluteDeviation | log-sigma-1-0-mm-3D_firstorder_Mean | log-sigma-1-0-mm-3D_firstorder_Median | log-sigma-1-0-mm-3D_firstorder_Minimum | log-sigma-1-0-mm-3D_firstorder_Range | log-sigma-1-0-mm-3D_firstorder_RobustMeanAbsoluteDeviation | log-sigma-1-0-mm-3D_firstorder_RootMeanSquared | log-sigma-1-0-mm-3D_firstorder_Skewness | log-sigma-1-0-mm-3D_firstorder_TotalEnergy | log-sigma-1-0-mm-3D_firstorder_Uniformity | log-sigma-1-0-mm-3D_firstorder_Variance | log-sigma-1-0-mm-3D_glcm_Autocorrelation | log-sigma-1-0-mm-3D_glcm_JointAverage | log-sigma-1-0-mm-3D_glcm_ClusterProminence | log-sigma-1-0-mm-3D_glcm_ClusterShade | log-sigma-1-0-mm-3D_glcm_ClusterTendency | log-sigma-1-0-mm-3D_glcm_Contrast | log-sigma-1-0-mm-3D_glcm_Correlation | log-sigma-1-0-mm-3D_glcm_DifferenceAverage | log-sigma-1-0-mm-3D_glcm_DifferenceEntropy | log-sigma-1-0-mm-3D_glcm_DifferenceVariance | log-sigma-1-0-mm-3D_glcm_JointEnergy | log-sigma-1-0-mm-3D_glcm_JointEntropy | log-sigma-1-0-mm-3D_glcm_Imc1 | log-sigma-1-0-mm-3D_glcm_Imc2 | log-sigma-1-0-mm-3D_glcm_Idm | log-sigma-1-0-mm-3D_glcm_Idmn | log-sigma-1-0-mm-3D_glcm_Id | log-sigma-1-0-mm-3D_glcm_Idn | log-sigma-1-0-mm-3D_glcm_InverseVariance | log-sigma-1-0-mm-3D_glcm_MaximumProbability | log-sigma-1-0-mm-3D_glcm_SumEntropy | log-sigma-1-0-mm-3D_glcm_SumSquares | log-sigma-1-0-mm-3D_glrlm_GrayLevelNonUniformity | log-sigma-1-0-mm-3D_glrlm_GrayLevelNonUniformityNormalized | log-sigma-1-0-mm-3D_glrlm_GrayLevelVariance | log-sigma-1-0-mm-3D_glrlm_HighGrayLevelRunEmphasis | log-sigma-1-0-mm-3D_glrlm_LongRunEmphasis | log-sigma-1-0-mm-3D_glrlm_LongRunHighGrayLevelEmphasis | log-sigma-1-0-mm-3D_glrlm_LongRunLowGrayLevelEmphasis | log-sigma-1-0-mm-3D_glrlm_LowGrayLevelRunEmphasis | log-sigma-1-0-mm-3D_glrlm_RunEntropy | log-sigma-1-0-mm-3D_glrlm_RunLengthNonUniformity | log-sigma-1-0-mm-3D_glrlm_RunLengthNonUniformityNormalized | log-sigma-1-0-mm-3D_glrlm_RunPercentage | log-sigma-1-0-mm-3D_glrlm_RunVariance | log-sigma-1-0-mm-3D_glrlm_ShortRunEmphasis | log-sigma-1-0-mm-3D_glrlm_ShortRunHighGrayLevelEmphasis | log-sigma-1-0-mm-3D_glrlm_ShortRunLowGrayLevelEmphasis | log-sigma-1-0-mm-3D_glszm_GrayLevelNonUniformity | log-sigma-1-0-mm-3D_glszm_GrayLevelNonUniformityNormalized | log-sigma-1-0-mm-3D_glszm_GrayLevelVariance | log-sigma-1-0-mm-3D_glszm_HighGrayLevelZoneEmphasis | log-sigma-1-0-mm-3D_glszm_LargeAreaEmphasis | log-sigma-1-0-mm-3D_glszm_LargeAreaHighGrayLevelEmphasis | log-sigma-1-0-mm-3D_glszm_LargeAreaLowGrayLevelEmphasis | log-sigma-1-0-mm-3D_glszm_LowGrayLevelZoneEmphasis | log-sigma-1-0-mm-3D_glszm_SizeZoneNonUniformity | log-sigma-1-0-mm-3D_glszm_SizeZoneNonUniformityNormalized | log-sigma-1-0-mm-3D_glszm_SmallAreaEmphasis | log-sigma-1-0-mm-3D_glszm_SmallAreaHighGrayLevelEmphasis | log-sigma-1-0-mm-3D_glszm_SmallAreaLowGrayLevelEmphasis | log-sigma-1-0-mm-3D_glszm_ZoneEntropy | log-sigma-1-0-mm-3D_glszm_ZonePercentage | log-sigma-1-0-mm-3D_glszm_ZoneVariance | log-sigma-1-0-mm-3D_gldm_DependenceEntropy | log-sigma-1-0-mm-3D_gldm_DependenceNonUniformity | log-sigma-1-0-mm-3D_gldm_DependenceNonUniformityNormalized | log-sigma-1-0-mm-3D_gldm_DependenceVariance | log-sigma-1-0-mm-3D_gldm_GrayLevelNonUniformity | log-sigma-1-0-mm-3D_gldm_GrayLevelVariance | log-sigma-1-0-mm-3D_gldm_HighGrayLevelEmphasis | log-sigma-1-0-mm-3D_gldm_LargeDependenceEmphasis | log-sigma-1-0-mm-3D_gldm_LargeDependenceHighGrayLevelEmphasis | log-sigma-1-0-mm-3D_gldm_LargeDependenceLowGrayLevelEmphasis | log-sigma-1-0-mm-3D_gldm_LowGrayLevelEmphasis | log-sigma-1-0-mm-3D_gldm_SmallDependenceEmphasis | log-sigma-1-0-mm-3D_gldm_SmallDependenceHighGrayLevelEmphasis | log-sigma-1-0-mm-3D_gldm_SmallDependenceLowGrayLevelEmphasis | log-sigma-1-0-mm-3D_ngtdm_Busyness | log-sigma-1-0-mm-3D_ngtdm_Coarseness | log-sigma-1-0-mm-3D_ngtdm_Complexity | log-sigma-1-0-mm-3D_ngtdm_Contrast | log-sigma-1-0-mm-3D_ngtdm_Strength | log-sigma-2-0-mm-3D_firstorder_10Percentile | log-sigma-2-0-mm-3D_firstorder_90Percentile | log-sigma-2-0-mm-3D_firstorder_Energy | log-sigma-2-0-mm-3D_firstorder_Entropy | log-sigma-2-0-mm-3D_firstorder_InterquartileRange | log-sigma-2-0-mm-3D_firstorder_Kurtosis | log-sigma-2-0-mm-3D_firstorder_Maximum | log-sigma-2-0-mm-3D_firstorder_MeanAbsoluteDeviation | log-sigma-2-0-mm-3D_firstorder_Mean | log-sigma-2-0-mm-3D_firstorder_Median | log-sigma-2-0-mm-3D_firstorder_Minimum | log-sigma-2-0-mm-3D_firstorder_Range | log-sigma-2-0-mm-3D_firstorder_RobustMeanAbsoluteDeviation | log-sigma-2-0-mm-3D_firstorder_RootMeanSquared | log-sigma-2-0-mm-3D_firstorder_Skewness | log-sigma-2-0-mm-3D_firstorder_TotalEnergy | log-sigma-2-0-mm-3D_firstorder_Uniformity | log-sigma-2-0-mm-3D_firstorder_Variance | log-sigma-2-0-mm-3D_glcm_Autocorrelation | log-sigma-2-0-mm-3D_glcm_JointAverage | log-sigma-2-0-mm-3D_glcm_ClusterProminence | log-sigma-2-0-mm-3D_glcm_ClusterShade | log-sigma-2-0-mm-3D_glcm_ClusterTendency | log-sigma-2-0-mm-3D_glcm_Contrast | log-sigma-2-0-mm-3D_glcm_Correlation | log-sigma-2-0-mm-3D_glcm_DifferenceAverage | log-sigma-2-0-mm-3D_glcm_DifferenceEntropy | log-sigma-2-0-mm-3D_glcm_DifferenceVariance | log-sigma-2-0-mm-3D_glcm_JointEnergy | log-sigma-2-0-mm-3D_glcm_JointEntropy | log-sigma-2-0-mm-3D_glcm_Imc1 | log-sigma-2-0-mm-3D_glcm_Imc2 | log-sigma-2-0-mm-3D_glcm_Idm | log-sigma-2-0-mm-3D_glcm_Idmn | log-sigma-2-0-mm-3D_glcm_Id | log-sigma-2-0-mm-3D_glcm_Idn | log-sigma-2-0-mm-3D_glcm_InverseVariance | log-sigma-2-0-mm-3D_glcm_MaximumProbability | log-sigma-2-0-mm-3D_glcm_SumEntropy | log-sigma-2-0-mm-3D_glcm_SumSquares | log-sigma-2-0-mm-3D_glrlm_GrayLevelNonUniformity | log-sigma-2-0-mm-3D_glrlm_GrayLevelNonUniformityNormalized | log-sigma-2-0-mm-3D_glrlm_GrayLevelVariance | log-sigma-2-0-mm-3D_glrlm_HighGrayLevelRunEmphasis | log-sigma-2-0-mm-3D_glrlm_LongRunEmphasis | log-sigma-2-0-mm-3D_glrlm_LongRunHighGrayLevelEmphasis | log-sigma-2-0-mm-3D_glrlm_LongRunLowGrayLevelEmphasis | log-sigma-2-0-mm-3D_glrlm_LowGrayLevelRunEmphasis | log-sigma-2-0-mm-3D_glrlm_RunEntropy | log-sigma-2-0-mm-3D_glrlm_RunLengthNonUniformity | log-sigma-2-0-mm-3D_glrlm_RunLengthNonUniformityNormalized | log-sigma-2-0-mm-3D_glrlm_RunPercentage | log-sigma-2-0-mm-3D_glrlm_RunVariance | log-sigma-2-0-mm-3D_glrlm_ShortRunEmphasis | log-sigma-2-0-mm-3D_glrlm_ShortRunHighGrayLevelEmphasis | log-sigma-2-0-mm-3D_glrlm_ShortRunLowGrayLevelEmphasis | log-sigma-2-0-mm-3D_glszm_GrayLevelNonUniformity | log-sigma-2-0-mm-3D_glszm_GrayLevelNonUniformityNormalized | log-sigma-2-0-mm-3D_glszm_GrayLevelVariance | log-sigma-2-0-mm-3D_glszm_HighGrayLevelZoneEmphasis | log-sigma-2-0-mm-3D_glszm_LargeAreaEmphasis | log-sigma-2-0-mm-3D_glszm_LargeAreaHighGrayLevelEmphasis | log-sigma-2-0-mm-3D_glszm_LargeAreaLowGrayLevelEmphasis | log-sigma-2-0-mm-3D_glszm_LowGrayLevelZoneEmphasis | log-sigma-2-0-mm-3D_glszm_SizeZoneNonUniformity | log-sigma-2-0-mm-3D_glszm_SizeZoneNonUniformityNormalized | log-sigma-2-0-mm-3D_glszm_SmallAreaEmphasis | log-sigma-2-0-mm-3D_glszm_SmallAreaHighGrayLevelEmphasis | log-sigma-2-0-mm-3D_glszm_SmallAreaLowGrayLevelEmphasis | log-sigma-2-0-mm-3D_glszm_ZoneEntropy | log-sigma-2-0-mm-3D_glszm_ZonePercentage | log-sigma-2-0-mm-3D_glszm_ZoneVariance | log-sigma-2-0-mm-3D_gldm_DependenceEntropy | log-sigma-2-0-mm-3D_gldm_DependenceNonUniformity | log-sigma-2-0-mm-3D_gldm_DependenceNonUniformityNormalized | log-sigma-2-0-mm-3D_gldm_DependenceVariance | log-sigma-2-0-mm-3D_gldm_GrayLevelNonUniformity | log-sigma-2-0-mm-3D_gldm_GrayLevelVariance | log-sigma-2-0-mm-3D_gldm_HighGrayLevelEmphasis | log-sigma-2-0-mm-3D_gldm_LargeDependenceEmphasis | log-sigma-2-0-mm-3D_gldm_LargeDependenceHighGrayLevelEmphasis | log-sigma-2-0-mm-3D_gldm_LargeDependenceLowGrayLevelEmphasis | log-sigma-2-0-mm-3D_gldm_LowGrayLevelEmphasis | log-sigma-2-0-mm-3D_gldm_SmallDependenceEmphasis | log-sigma-2-0-mm-3D_gldm_SmallDependenceHighGrayLevelEmphasis | log-sigma-2-0-mm-3D_gldm_SmallDependenceLowGrayLevelEmphasis | log-sigma-2-0-mm-3D_ngtdm_Busyness | log-sigma-2-0-mm-3D_ngtdm_Coarseness | log-sigma-2-0-mm-3D_ngtdm_Complexity | log-sigma-2-0-mm-3D_ngtdm_Contrast | log-sigma-2-0-mm-3D_ngtdm_Strength | log-sigma-3-0-mm-3D_firstorder_10Percentile | log-sigma-3-0-mm-3D_firstorder_90Percentile | log-sigma-3-0-mm-3D_firstorder_Energy | log-sigma-3-0-mm-3D_firstorder_Entropy | log-sigma-3-0-mm-3D_firstorder_InterquartileRange | log-sigma-3-0-mm-3D_firstorder_Kurtosis | log-sigma-3-0-mm-3D_firstorder_Maximum | log-sigma-3-0-mm-3D_firstorder_MeanAbsoluteDeviation | log-sigma-3-0-mm-3D_firstorder_Mean | log-sigma-3-0-mm-3D_firstorder_Median | log-sigma-3-0-mm-3D_firstorder_Minimum | log-sigma-3-0-mm-3D_firstorder_Range | log-sigma-3-0-mm-3D_firstorder_RobustMeanAbsoluteDeviation | log-sigma-3-0-mm-3D_firstorder_RootMeanSquared | log-sigma-3-0-mm-3D_firstorder_Skewness | log-sigma-3-0-mm-3D_firstorder_TotalEnergy | log-sigma-3-0-mm-3D_firstorder_Uniformity | log-sigma-3-0-mm-3D_firstorder_Variance | log-sigma-3-0-mm-3D_glcm_Autocorrelation | log-sigma-3-0-mm-3D_glcm_JointAverage | log-sigma-3-0-mm-3D_glcm_ClusterProminence | log-sigma-3-0-mm-3D_glcm_ClusterShade | log-sigma-3-0-mm-3D_glcm_ClusterTendency | log-sigma-3-0-mm-3D_glcm_Contrast | log-sigma-3-0-mm-3D_glcm_Correlation | log-sigma-3-0-mm-3D_glcm_DifferenceAverage | log-sigma-3-0-mm-3D_glcm_DifferenceEntropy | log-sigma-3-0-mm-3D_glcm_DifferenceVariance | log-sigma-3-0-mm-3D_glcm_JointEnergy | log-sigma-3-0-mm-3D_glcm_JointEntropy | log-sigma-3-0-mm-3D_glcm_Imc1 | log-sigma-3-0-mm-3D_glcm_Imc2 | log-sigma-3-0-mm-3D_glcm_Idm | log-sigma-3-0-mm-3D_glcm_Idmn | log-sigma-3-0-mm-3D_glcm_Id | log-sigma-3-0-mm-3D_glcm_Idn | log-sigma-3-0-mm-3D_glcm_InverseVariance | log-sigma-3-0-mm-3D_glcm_MaximumProbability | log-sigma-3-0-mm-3D_glcm_SumEntropy | log-sigma-3-0-mm-3D_glcm_SumSquares | log-sigma-3-0-mm-3D_glrlm_GrayLevelNonUniformity | log-sigma-3-0-mm-3D_glrlm_GrayLevelNonUniformityNormalized | log-sigma-3-0-mm-3D_glrlm_GrayLevelVariance | log-sigma-3-0-mm-3D_glrlm_HighGrayLevelRunEmphasis | log-sigma-3-0-mm-3D_glrlm_LongRunEmphasis | log-sigma-3-0-mm-3D_glrlm_LongRunHighGrayLevelEmphasis | log-sigma-3-0-mm-3D_glrlm_LongRunLowGrayLevelEmphasis | log-sigma-3-0-mm-3D_glrlm_LowGrayLevelRunEmphasis | log-sigma-3-0-mm-3D_glrlm_RunEntropy | log-sigma-3-0-mm-3D_glrlm_RunLengthNonUniformity | log-sigma-3-0-mm-3D_glrlm_RunLengthNonUniformityNormalized | log-sigma-3-0-mm-3D_glrlm_RunPercentage | log-sigma-3-0-mm-3D_glrlm_RunVariance | log-sigma-3-0-mm-3D_glrlm_ShortRunEmphasis | log-sigma-3-0-mm-3D_glrlm_ShortRunHighGrayLevelEmphasis | log-sigma-3-0-mm-3D_glrlm_ShortRunLowGrayLevelEmphasis | log-sigma-3-0-mm-3D_glszm_GrayLevelNonUniformity | log-sigma-3-0-mm-3D_glszm_GrayLevelNonUniformityNormalized | log-sigma-3-0-mm-3D_glszm_GrayLevelVariance | log-sigma-3-0-mm-3D_glszm_HighGrayLevelZoneEmphasis | log-sigma-3-0-mm-3D_glszm_LargeAreaEmphasis | log-sigma-3-0-mm-3D_glszm_LargeAreaHighGrayLevelEmphasis | log-sigma-3-0-mm-3D_glszm_LargeAreaLowGrayLevelEmphasis | log-sigma-3-0-mm-3D_glszm_LowGrayLevelZoneEmphasis | log-sigma-3-0-mm-3D_glszm_SizeZoneNonUniformity | log-sigma-3-0-mm-3D_glszm_SizeZoneNonUniformityNormalized | log-sigma-3-0-mm-3D_glszm_SmallAreaEmphasis | log-sigma-3-0-mm-3D_glszm_SmallAreaHighGrayLevelEmphasis | log-sigma-3-0-mm-3D_glszm_SmallAreaLowGrayLevelEmphasis | log-sigma-3-0-mm-3D_glszm_ZoneEntropy | log-sigma-3-0-mm-3D_glszm_ZonePercentage | log-sigma-3-0-mm-3D_glszm_ZoneVariance | log-sigma-3-0-mm-3D_gldm_DependenceEntropy | log-sigma-3-0-mm-3D_gldm_DependenceNonUniformity | log-sigma-3-0-mm-3D_gldm_DependenceNonUniformityNormalized | log-sigma-3-0-mm-3D_gldm_DependenceVariance | log-sigma-3-0-mm-3D_gldm_GrayLevelNonUniformity | log-sigma-3-0-mm-3D_gldm_GrayLevelVariance | log-sigma-3-0-mm-3D_gldm_HighGrayLevelEmphasis | log-sigma-3-0-mm-3D_gldm_LargeDependenceEmphasis | log-sigma-3-0-mm-3D_gldm_LargeDependenceHighGrayLevelEmphasis | log-sigma-3-0-mm-3D_gldm_LargeDependenceLowGrayLevelEmphasis | log-sigma-3-0-mm-3D_gldm_LowGrayLevelEmphasis | log-sigma-3-0-mm-3D_gldm_SmallDependenceEmphasis | log-sigma-3-0-mm-3D_gldm_SmallDependenceHighGrayLevelEmphasis | log-sigma-3-0-mm-3D_gldm_SmallDependenceLowGrayLevelEmphasis | log-sigma-3-0-mm-3D_ngtdm_Busyness | log-sigma-3-0-mm-3D_ngtdm_Coarseness | log-sigma-3-0-mm-3D_ngtdm_Complexity | log-sigma-3-0-mm-3D_ngtdm_Contrast | log-sigma-3-0-mm-3D_ngtdm_Strength | log-sigma-4-0-mm-3D_firstorder_10Percentile | log-sigma-4-0-mm-3D_firstorder_90Percentile | log-sigma-4-0-mm-3D_firstorder_Energy | log-sigma-4-0-mm-3D_firstorder_Entropy | log-sigma-4-0-mm-3D_firstorder_InterquartileRange | log-sigma-4-0-mm-3D_firstorder_Kurtosis | log-sigma-4-0-mm-3D_firstorder_Maximum | log-sigma-4-0-mm-3D_firstorder_MeanAbsoluteDeviation | log-sigma-4-0-mm-3D_firstorder_Mean | log-sigma-4-0-mm-3D_firstorder_Median | log-sigma-4-0-mm-3D_firstorder_Minimum | log-sigma-4-0-mm-3D_firstorder_Range | log-sigma-4-0-mm-3D_firstorder_RobustMeanAbsoluteDeviation | log-sigma-4-0-mm-3D_firstorder_RootMeanSquared | log-sigma-4-0-mm-3D_firstorder_Skewness | log-sigma-4-0-mm-3D_firstorder_TotalEnergy | log-sigma-4-0-mm-3D_firstorder_Uniformity | log-sigma-4-0-mm-3D_firstorder_Variance | log-sigma-4-0-mm-3D_glcm_Autocorrelation | log-sigma-4-0-mm-3D_glcm_JointAverage | log-sigma-4-0-mm-3D_glcm_ClusterProminence | log-sigma-4-0-mm-3D_glcm_ClusterShade | log-sigma-4-0-mm-3D_glcm_ClusterTendency | log-sigma-4-0-mm-3D_glcm_Contrast | log-sigma-4-0-mm-3D_glcm_Correlation | log-sigma-4-0-mm-3D_glcm_DifferenceAverage | log-sigma-4-0-mm-3D_glcm_DifferenceEntropy | log-sigma-4-0-mm-3D_glcm_DifferenceVariance | log-sigma-4-0-mm-3D_glcm_JointEnergy | log-sigma-4-0-mm-3D_glcm_JointEntropy | log-sigma-4-0-mm-3D_glcm_Imc1 | log-sigma-4-0-mm-3D_glcm_Imc2 | log-sigma-4-0-mm-3D_glcm_Idm | log-sigma-4-0-mm-3D_glcm_Idmn | log-sigma-4-0-mm-3D_glcm_Id | log-sigma-4-0-mm-3D_glcm_Idn | log-sigma-4-0-mm-3D_glcm_InverseVariance | log-sigma-4-0-mm-3D_glcm_MaximumProbability | log-sigma-4-0-mm-3D_glcm_SumEntropy | log-sigma-4-0-mm-3D_glcm_SumSquares | log-sigma-4-0-mm-3D_glrlm_GrayLevelNonUniformity | log-sigma-4-0-mm-3D_glrlm_GrayLevelNonUniformityNormalized | log-sigma-4-0-mm-3D_glrlm_GrayLevelVariance | log-sigma-4-0-mm-3D_glrlm_HighGrayLevelRunEmphasis | log-sigma-4-0-mm-3D_glrlm_LongRunEmphasis | log-sigma-4-0-mm-3D_glrlm_LongRunHighGrayLevelEmphasis | log-sigma-4-0-mm-3D_glrlm_LongRunLowGrayLevelEmphasis | log-sigma-4-0-mm-3D_glrlm_LowGrayLevelRunEmphasis | log-sigma-4-0-mm-3D_glrlm_RunEntropy | log-sigma-4-0-mm-3D_glrlm_RunLengthNonUniformity | log-sigma-4-0-mm-3D_glrlm_RunLengthNonUniformityNormalized | log-sigma-4-0-mm-3D_glrlm_RunPercentage | log-sigma-4-0-mm-3D_glrlm_RunVariance | log-sigma-4-0-mm-3D_glrlm_ShortRunEmphasis | log-sigma-4-0-mm-3D_glrlm_ShortRunHighGrayLevelEmphasis | log-sigma-4-0-mm-3D_glrlm_ShortRunLowGrayLevelEmphasis | log-sigma-4-0-mm-3D_glszm_GrayLevelNonUniformity | log-sigma-4-0-mm-3D_glszm_GrayLevelNonUniformityNormalized | log-sigma-4-0-mm-3D_glszm_GrayLevelVariance | log-sigma-4-0-mm-3D_glszm_HighGrayLevelZoneEmphasis | log-sigma-4-0-mm-3D_glszm_LargeAreaEmphasis | log-sigma-4-0-mm-3D_glszm_LargeAreaHighGrayLevelEmphasis | log-sigma-4-0-mm-3D_glszm_LargeAreaLowGrayLevelEmphasis | log-sigma-4-0-mm-3D_glszm_LowGrayLevelZoneEmphasis | log-sigma-4-0-mm-3D_glszm_SizeZoneNonUniformity | log-sigma-4-0-mm-3D_glszm_SizeZoneNonUniformityNormalized | log-sigma-4-0-mm-3D_glszm_SmallAreaEmphasis | log-sigma-4-0-mm-3D_glszm_SmallAreaHighGrayLevelEmphasis | log-sigma-4-0-mm-3D_glszm_SmallAreaLowGrayLevelEmphasis | log-sigma-4-0-mm-3D_glszm_ZoneEntropy | log-sigma-4-0-mm-3D_glszm_ZonePercentage | log-sigma-4-0-mm-3D_glszm_ZoneVariance | log-sigma-4-0-mm-3D_gldm_DependenceEntropy | log-sigma-4-0-mm-3D_gldm_DependenceNonUniformity | log-sigma-4-0-mm-3D_gldm_DependenceNonUniformityNormalized | log-sigma-4-0-mm-3D_gldm_DependenceVariance | log-sigma-4-0-mm-3D_gldm_GrayLevelNonUniformity | log-sigma-4-0-mm-3D_gldm_GrayLevelVariance | log-sigma-4-0-mm-3D_gldm_HighGrayLevelEmphasis | log-sigma-4-0-mm-3D_gldm_LargeDependenceEmphasis | log-sigma-4-0-mm-3D_gldm_LargeDependenceHighGrayLevelEmphasis | log-sigma-4-0-mm-3D_gldm_LargeDependenceLowGrayLevelEmphasis | log-sigma-4-0-mm-3D_gldm_LowGrayLevelEmphasis | log-sigma-4-0-mm-3D_gldm_SmallDependenceEmphasis | log-sigma-4-0-mm-3D_gldm_SmallDependenceHighGrayLevelEmphasis | log-sigma-4-0-mm-3D_gldm_SmallDependenceLowGrayLevelEmphasis | log-sigma-4-0-mm-3D_ngtdm_Busyness | log-sigma-4-0-mm-3D_ngtdm_Coarseness | log-sigma-4-0-mm-3D_ngtdm_Complexity | log-sigma-4-0-mm-3D_ngtdm_Contrast | log-sigma-4-0-mm-3D_ngtdm_Strength | log-sigma-5-0-mm-3D_firstorder_10Percentile | log-sigma-5-0-mm-3D_firstorder_90Percentile | log-sigma-5-0-mm-3D_firstorder_Energy | log-sigma-5-0-mm-3D_firstorder_Entropy | log-sigma-5-0-mm-3D_firstorder_InterquartileRange | log-sigma-5-0-mm-3D_firstorder_Kurtosis | log-sigma-5-0-mm-3D_firstorder_Maximum | log-sigma-5-0-mm-3D_firstorder_MeanAbsoluteDeviation | log-sigma-5-0-mm-3D_firstorder_Mean | log-sigma-5-0-mm-3D_firstorder_Median | log-sigma-5-0-mm-3D_firstorder_Minimum | log-sigma-5-0-mm-3D_firstorder_Range | log-sigma-5-0-mm-3D_firstorder_RobustMeanAbsoluteDeviation | log-sigma-5-0-mm-3D_firstorder_RootMeanSquared | log-sigma-5-0-mm-3D_firstorder_Skewness | log-sigma-5-0-mm-3D_firstorder_TotalEnergy | log-sigma-5-0-mm-3D_firstorder_Uniformity | log-sigma-5-0-mm-3D_firstorder_Variance | log-sigma-5-0-mm-3D_glcm_Autocorrelation | log-sigma-5-0-mm-3D_glcm_JointAverage | log-sigma-5-0-mm-3D_glcm_ClusterProminence | log-sigma-5-0-mm-3D_glcm_ClusterShade | log-sigma-5-0-mm-3D_glcm_ClusterTendency | log-sigma-5-0-mm-3D_glcm_Contrast | log-sigma-5-0-mm-3D_glcm_Correlation | log-sigma-5-0-mm-3D_glcm_DifferenceAverage | log-sigma-5-0-mm-3D_glcm_DifferenceEntropy | log-sigma-5-0-mm-3D_glcm_DifferenceVariance | log-sigma-5-0-mm-3D_glcm_JointEnergy | log-sigma-5-0-mm-3D_glcm_JointEntropy | log-sigma-5-0-mm-3D_glcm_Imc1 | log-sigma-5-0-mm-3D_glcm_Imc2 | log-sigma-5-0-mm-3D_glcm_Idm | log-sigma-5-0-mm-3D_glcm_Idmn | log-sigma-5-0-mm-3D_glcm_Id | log-sigma-5-0-mm-3D_glcm_Idn | log-sigma-5-0-mm-3D_glcm_InverseVariance | log-sigma-5-0-mm-3D_glcm_MaximumProbability | log-sigma-5-0-mm-3D_glcm_SumEntropy | log-sigma-5-0-mm-3D_glcm_SumSquares | log-sigma-5-0-mm-3D_glrlm_GrayLevelNonUniformity | log-sigma-5-0-mm-3D_glrlm_GrayLevelNonUniformityNormalized | log-sigma-5-0-mm-3D_glrlm_GrayLevelVariance | log-sigma-5-0-mm-3D_glrlm_HighGrayLevelRunEmphasis | log-sigma-5-0-mm-3D_glrlm_LongRunEmphasis | log-sigma-5-0-mm-3D_glrlm_LongRunHighGrayLevelEmphasis | log-sigma-5-0-mm-3D_glrlm_LongRunLowGrayLevelEmphasis | log-sigma-5-0-mm-3D_glrlm_LowGrayLevelRunEmphasis | log-sigma-5-0-mm-3D_glrlm_RunEntropy | log-sigma-5-0-mm-3D_glrlm_RunLengthNonUniformity | log-sigma-5-0-mm-3D_glrlm_RunLengthNonUniformityNormalized | log-sigma-5-0-mm-3D_glrlm_RunPercentage | log-sigma-5-0-mm-3D_glrlm_RunVariance | log-sigma-5-0-mm-3D_glrlm_ShortRunEmphasis | log-sigma-5-0-mm-3D_glrlm_ShortRunHighGrayLevelEmphasis | log-sigma-5-0-mm-3D_glrlm_ShortRunLowGrayLevelEmphasis | log-sigma-5-0-mm-3D_glszm_GrayLevelNonUniformity | log-sigma-5-0-mm-3D_glszm_GrayLevelNonUniformityNormalized | log-sigma-5-0-mm-3D_glszm_GrayLevelVariance | log-sigma-5-0-mm-3D_glszm_HighGrayLevelZoneEmphasis | log-sigma-5-0-mm-3D_glszm_LargeAreaEmphasis | log-sigma-5-0-mm-3D_glszm_LargeAreaHighGrayLevelEmphasis | log-sigma-5-0-mm-3D_glszm_LargeAreaLowGrayLevelEmphasis | log-sigma-5-0-mm-3D_glszm_LowGrayLevelZoneEmphasis | log-sigma-5-0-mm-3D_glszm_SizeZoneNonUniformity | log-sigma-5-0-mm-3D_glszm_SizeZoneNonUniformityNormalized | log-sigma-5-0-mm-3D_glszm_SmallAreaEmphasis | log-sigma-5-0-mm-3D_glszm_SmallAreaHighGrayLevelEmphasis | log-sigma-5-0-mm-3D_glszm_SmallAreaLowGrayLevelEmphasis | log-sigma-5-0-mm-3D_glszm_ZoneEntropy | log-sigma-5-0-mm-3D_glszm_ZonePercentage | log-sigma-5-0-mm-3D_glszm_ZoneVariance | log-sigma-5-0-mm-3D_gldm_DependenceEntropy | log-sigma-5-0-mm-3D_gldm_DependenceNonUniformity | log-sigma-5-0-mm-3D_gldm_DependenceNonUniformityNormalized | log-sigma-5-0-mm-3D_gldm_DependenceVariance | log-sigma-5-0-mm-3D_gldm_GrayLevelNonUniformity | log-sigma-5-0-mm-3D_gldm_GrayLevelVariance | log-sigma-5-0-mm-3D_gldm_HighGrayLevelEmphasis | log-sigma-5-0-mm-3D_gldm_LargeDependenceEmphasis | log-sigma-5-0-mm-3D_gldm_LargeDependenceHighGrayLevelEmphasis | log-sigma-5-0-mm-3D_gldm_LargeDependenceLowGrayLevelEmphasis | log-sigma-5-0-mm-3D_gldm_LowGrayLevelEmphasis | log-sigma-5-0-mm-3D_gldm_SmallDependenceEmphasis | log-sigma-5-0-mm-3D_gldm_SmallDependenceHighGrayLevelEmphasis | log-sigma-5-0-mm-3D_gldm_SmallDependenceLowGrayLevelEmphasis | log-sigma-5-0-mm-3D_ngtdm_Busyness | log-sigma-5-0-mm-3D_ngtdm_Coarseness | log-sigma-5-0-mm-3D_ngtdm_Complexity | log-sigma-5-0-mm-3D_ngtdm_Contrast | log-sigma-5-0-mm-3D_ngtdm_Strength | wavelet-LLH_firstorder_10Percentile | wavelet-LLH_firstorder_90Percentile | wavelet-LLH_firstorder_Energy | wavelet-LLH_firstorder_Entropy | wavelet-LLH_firstorder_InterquartileRange | wavelet-LLH_firstorder_Kurtosis | wavelet-LLH_firstorder_Maximum | wavelet-LLH_firstorder_MeanAbsoluteDeviation | wavelet-LLH_firstorder_Mean | wavelet-LLH_firstorder_Median | wavelet-LLH_firstorder_Minimum | wavelet-LLH_firstorder_Range | wavelet-LLH_firstorder_RobustMeanAbsoluteDeviation | wavelet-LLH_firstorder_RootMeanSquared | wavelet-LLH_firstorder_Skewness | wavelet-LLH_firstorder_TotalEnergy | wavelet-LLH_firstorder_Uniformity | wavelet-LLH_firstorder_Variance | wavelet-LLH_glcm_Autocorrelation | wavelet-LLH_glcm_JointAverage | wavelet-LLH_glcm_ClusterProminence | wavelet-LLH_glcm_ClusterShade | wavelet-LLH_glcm_ClusterTendency | wavelet-LLH_glcm_Contrast | wavelet-LLH_glcm_Correlation | wavelet-LLH_glcm_DifferenceAverage | wavelet-LLH_glcm_DifferenceEntropy | wavelet-LLH_glcm_DifferenceVariance | wavelet-LLH_glcm_JointEnergy | wavelet-LLH_glcm_JointEntropy | wavelet-LLH_glcm_Imc1 | wavelet-LLH_glcm_Imc2 | wavelet-LLH_glcm_Idm | wavelet-LLH_glcm_Idmn | wavelet-LLH_glcm_Id | wavelet-LLH_glcm_Idn | wavelet-LLH_glcm_InverseVariance | wavelet-LLH_glcm_MaximumProbability | wavelet-LLH_glcm_SumEntropy | wavelet-LLH_glcm_SumSquares | wavelet-LLH_glrlm_GrayLevelNonUniformity | wavelet-LLH_glrlm_GrayLevelNonUniformityNormalized | wavelet-LLH_glrlm_GrayLevelVariance | wavelet-LLH_glrlm_HighGrayLevelRunEmphasis | wavelet-LLH_glrlm_LongRunEmphasis | wavelet-LLH_glrlm_LongRunHighGrayLevelEmphasis | wavelet-LLH_glrlm_LongRunLowGrayLevelEmphasis | wavelet-LLH_glrlm_LowGrayLevelRunEmphasis | wavelet-LLH_glrlm_RunEntropy | wavelet-LLH_glrlm_RunLengthNonUniformity | wavelet-LLH_glrlm_RunLengthNonUniformityNormalized | wavelet-LLH_glrlm_RunPercentage | wavelet-LLH_glrlm_RunVariance | wavelet-LLH_glrlm_ShortRunEmphasis | wavelet-LLH_glrlm_ShortRunHighGrayLevelEmphasis | wavelet-LLH_glrlm_ShortRunLowGrayLevelEmphasis | wavelet-LLH_glszm_GrayLevelNonUniformity | wavelet-LLH_glszm_GrayLevelNonUniformityNormalized | wavelet-LLH_glszm_GrayLevelVariance | wavelet-LLH_glszm_HighGrayLevelZoneEmphasis | wavelet-LLH_glszm_LargeAreaEmphasis | wavelet-LLH_glszm_LargeAreaHighGrayLevelEmphasis | wavelet-LLH_glszm_LargeAreaLowGrayLevelEmphasis | wavelet-LLH_glszm_LowGrayLevelZoneEmphasis | wavelet-LLH_glszm_SizeZoneNonUniformity | wavelet-LLH_glszm_SizeZoneNonUniformityNormalized | wavelet-LLH_glszm_SmallAreaEmphasis | wavelet-LLH_glszm_SmallAreaHighGrayLevelEmphasis | wavelet-LLH_glszm_SmallAreaLowGrayLevelEmphasis | wavelet-LLH_glszm_ZoneEntropy | wavelet-LLH_glszm_ZonePercentage | wavelet-LLH_glszm_ZoneVariance | wavelet-LLH_gldm_DependenceEntropy | wavelet-LLH_gldm_DependenceNonUniformity | wavelet-LLH_gldm_DependenceNonUniformityNormalized | wavelet-LLH_gldm_DependenceVariance | wavelet-LLH_gldm_GrayLevelNonUniformity | wavelet-LLH_gldm_GrayLevelVariance | wavelet-LLH_gldm_HighGrayLevelEmphasis | wavelet-LLH_gldm_LargeDependenceEmphasis | wavelet-LLH_gldm_LargeDependenceHighGrayLevelEmphasis | wavelet-LLH_gldm_LargeDependenceLowGrayLevelEmphasis | wavelet-LLH_gldm_LowGrayLevelEmphasis | wavelet-LLH_gldm_SmallDependenceEmphasis | wavelet-LLH_gldm_SmallDependenceHighGrayLevelEmphasis | wavelet-LLH_gldm_SmallDependenceLowGrayLevelEmphasis | wavelet-LLH_ngtdm_Busyness | wavelet-LLH_ngtdm_Coarseness | wavelet-LLH_ngtdm_Complexity | wavelet-LLH_ngtdm_Contrast | wavelet-LLH_ngtdm_Strength | wavelet-LHL_firstorder_10Percentile | wavelet-LHL_firstorder_90Percentile | wavelet-LHL_firstorder_Energy | wavelet-LHL_firstorder_Entropy | wavelet-LHL_firstorder_InterquartileRange | wavelet-LHL_firstorder_Kurtosis | wavelet-LHL_firstorder_Maximum | wavelet-LHL_firstorder_MeanAbsoluteDeviation | wavelet-LHL_firstorder_Mean | wavelet-LHL_firstorder_Median | wavelet-LHL_firstorder_Minimum | wavelet-LHL_firstorder_Range | wavelet-LHL_firstorder_RobustMeanAbsoluteDeviation | wavelet-LHL_firstorder_RootMeanSquared | wavelet-LHL_firstorder_Skewness | wavelet-LHL_firstorder_TotalEnergy | wavelet-LHL_firstorder_Uniformity | wavelet-LHL_firstorder_Variance | wavelet-LHL_glcm_Autocorrelation | wavelet-LHL_glcm_JointAverage | wavelet-LHL_glcm_ClusterProminence | wavelet-LHL_glcm_ClusterShade | wavelet-LHL_glcm_ClusterTendency | wavelet-LHL_glcm_Contrast | wavelet-LHL_glcm_Correlation | wavelet-LHL_glcm_DifferenceAverage | wavelet-LHL_glcm_DifferenceEntropy | wavelet-LHL_glcm_DifferenceVariance | wavelet-LHL_glcm_JointEnergy | wavelet-LHL_glcm_JointEntropy | wavelet-LHL_glcm_Imc1 | wavelet-LHL_glcm_Imc2 | wavelet-LHL_glcm_Idm | wavelet-LHL_glcm_Idmn | wavelet-LHL_glcm_Id | wavelet-LHL_glcm_Idn | wavelet-LHL_glcm_InverseVariance | wavelet-LHL_glcm_MaximumProbability | wavelet-LHL_glcm_SumEntropy | wavelet-LHL_glcm_SumSquares | wavelet-LHL_glrlm_GrayLevelNonUniformity | wavelet-LHL_glrlm_GrayLevelNonUniformityNormalized | wavelet-LHL_glrlm_GrayLevelVariance | wavelet-LHL_glrlm_HighGrayLevelRunEmphasis | wavelet-LHL_glrlm_LongRunEmphasis | wavelet-LHL_glrlm_LongRunHighGrayLevelEmphasis | wavelet-LHL_glrlm_LongRunLowGrayLevelEmphasis | wavelet-LHL_glrlm_LowGrayLevelRunEmphasis | wavelet-LHL_glrlm_RunEntropy | wavelet-LHL_glrlm_RunLengthNonUniformity | wavelet-LHL_glrlm_RunLengthNonUniformityNormalized | wavelet-LHL_glrlm_RunPercentage | wavelet-LHL_glrlm_RunVariance | wavelet-LHL_glrlm_ShortRunEmphasis | wavelet-LHL_glrlm_ShortRunHighGrayLevelEmphasis | wavelet-LHL_glrlm_ShortRunLowGrayLevelEmphasis | wavelet-LHL_glszm_GrayLevelNonUniformity | wavelet-LHL_glszm_GrayLevelNonUniformityNormalized | wavelet-LHL_glszm_GrayLevelVariance | wavelet-LHL_glszm_HighGrayLevelZoneEmphasis | wavelet-LHL_glszm_LargeAreaEmphasis | wavelet-LHL_glszm_LargeAreaHighGrayLevelEmphasis | wavelet-LHL_glszm_LargeAreaLowGrayLevelEmphasis | wavelet-LHL_glszm_LowGrayLevelZoneEmphasis | wavelet-LHL_glszm_SizeZoneNonUniformity | wavelet-LHL_glszm_SizeZoneNonUniformityNormalized | wavelet-LHL_glszm_SmallAreaEmphasis | wavelet-LHL_glszm_SmallAreaHighGrayLevelEmphasis | wavelet-LHL_glszm_SmallAreaLowGrayLevelEmphasis | wavelet-LHL_glszm_ZoneEntropy | wavelet-LHL_glszm_ZonePercentage | wavelet-LHL_glszm_ZoneVariance | wavelet-LHL_gldm_DependenceEntropy | wavelet-LHL_gldm_DependenceNonUniformity | wavelet-LHL_gldm_DependenceNonUniformityNormalized | wavelet-LHL_gldm_DependenceVariance | wavelet-LHL_gldm_GrayLevelNonUniformity | wavelet-LHL_gldm_GrayLevelVariance | wavelet-LHL_gldm_HighGrayLevelEmphasis | wavelet-LHL_gldm_LargeDependenceEmphasis | wavelet-LHL_gldm_LargeDependenceHighGrayLevelEmphasis | wavelet-LHL_gldm_LargeDependenceLowGrayLevelEmphasis | wavelet-LHL_gldm_LowGrayLevelEmphasis | wavelet-LHL_gldm_SmallDependenceEmphasis | wavelet-LHL_gldm_SmallDependenceHighGrayLevelEmphasis | wavelet-LHL_gldm_SmallDependenceLowGrayLevelEmphasis | wavelet-LHL_ngtdm_Busyness | wavelet-LHL_ngtdm_Coarseness | wavelet-LHL_ngtdm_Complexity | wavelet-LHL_ngtdm_Contrast | wavelet-LHL_ngtdm_Strength | wavelet-LHH_firstorder_10Percentile | wavelet-LHH_firstorder_90Percentile | wavelet-LHH_firstorder_Energy | wavelet-LHH_firstorder_Entropy | wavelet-LHH_firstorder_InterquartileRange | wavelet-LHH_firstorder_Kurtosis | wavelet-LHH_firstorder_Maximum | wavelet-LHH_firstorder_MeanAbsoluteDeviation | wavelet-LHH_firstorder_Mean | wavelet-LHH_firstorder_Median | wavelet-LHH_firstorder_Minimum | wavelet-LHH_firstorder_Range | wavelet-LHH_firstorder_RobustMeanAbsoluteDeviation | wavelet-LHH_firstorder_RootMeanSquared | wavelet-LHH_firstorder_Skewness | wavelet-LHH_firstorder_TotalEnergy | wavelet-LHH_firstorder_Uniformity | wavelet-LHH_firstorder_Variance | wavelet-LHH_glcm_Autocorrelation | wavelet-LHH_glcm_JointAverage | wavelet-LHH_glcm_ClusterProminence | wavelet-LHH_glcm_ClusterShade | wavelet-LHH_glcm_ClusterTendency | wavelet-LHH_glcm_Contrast | wavelet-LHH_glcm_Correlation | wavelet-LHH_glcm_DifferenceAverage | wavelet-LHH_glcm_DifferenceEntropy | wavelet-LHH_glcm_DifferenceVariance | wavelet-LHH_glcm_JointEnergy | wavelet-LHH_glcm_JointEntropy | wavelet-LHH_glcm_Imc1 | wavelet-LHH_glcm_Imc2 | wavelet-LHH_glcm_Idm | wavelet-LHH_glcm_Idmn | wavelet-LHH_glcm_Id | wavelet-LHH_glcm_Idn | wavelet-LHH_glcm_InverseVariance | wavelet-LHH_glcm_MaximumProbability | wavelet-LHH_glcm_SumEntropy | wavelet-LHH_glcm_SumSquares | wavelet-LHH_glrlm_GrayLevelNonUniformity | wavelet-LHH_glrlm_GrayLevelNonUniformityNormalized | wavelet-LHH_glrlm_GrayLevelVariance | wavelet-LHH_glrlm_HighGrayLevelRunEmphasis | wavelet-LHH_glrlm_LongRunEmphasis | wavelet-LHH_glrlm_LongRunHighGrayLevelEmphasis | wavelet-LHH_glrlm_LongRunLowGrayLevelEmphasis | wavelet-LHH_glrlm_LowGrayLevelRunEmphasis | wavelet-LHH_glrlm_RunEntropy | wavelet-LHH_glrlm_RunLengthNonUniformity | wavelet-LHH_glrlm_RunLengthNonUniformityNormalized | wavelet-LHH_glrlm_RunPercentage | wavelet-LHH_glrlm_RunVariance | wavelet-LHH_glrlm_ShortRunEmphasis | wavelet-LHH_glrlm_ShortRunHighGrayLevelEmphasis | wavelet-LHH_glrlm_ShortRunLowGrayLevelEmphasis | wavelet-LHH_glszm_GrayLevelNonUniformity | wavelet-LHH_glszm_GrayLevelNonUniformityNormalized | wavelet-LHH_glszm_GrayLevelVariance | wavelet-LHH_glszm_HighGrayLevelZoneEmphasis | wavelet-LHH_glszm_LargeAreaEmphasis | wavelet-LHH_glszm_LargeAreaHighGrayLevelEmphasis | wavelet-LHH_glszm_LargeAreaLowGrayLevelEmphasis | wavelet-LHH_glszm_LowGrayLevelZoneEmphasis | wavelet-LHH_glszm_SizeZoneNonUniformity | wavelet-LHH_glszm_SizeZoneNonUniformityNormalized | wavelet-LHH_glszm_SmallAreaEmphasis | wavelet-LHH_glszm_SmallAreaHighGrayLevelEmphasis | wavelet-LHH_glszm_SmallAreaLowGrayLevelEmphasis | wavelet-LHH_glszm_ZoneEntropy | wavelet-LHH_glszm_ZonePercentage | wavelet-LHH_glszm_ZoneVariance | wavelet-LHH_gldm_DependenceEntropy | wavelet-LHH_gldm_DependenceNonUniformity | wavelet-LHH_gldm_DependenceNonUniformityNormalized | wavelet-LHH_gldm_DependenceVariance | wavelet-LHH_gldm_GrayLevelNonUniformity | wavelet-LHH_gldm_GrayLevelVariance | wavelet-LHH_gldm_HighGrayLevelEmphasis | wavelet-LHH_gldm_LargeDependenceEmphasis | wavelet-LHH_gldm_LargeDependenceHighGrayLevelEmphasis | wavelet-LHH_gldm_LargeDependenceLowGrayLevelEmphasis | wavelet-LHH_gldm_LowGrayLevelEmphasis | wavelet-LHH_gldm_SmallDependenceEmphasis | wavelet-LHH_gldm_SmallDependenceHighGrayLevelEmphasis | wavelet-LHH_gldm_SmallDependenceLowGrayLevelEmphasis | wavelet-LHH_ngtdm_Busyness | wavelet-LHH_ngtdm_Coarseness | wavelet-LHH_ngtdm_Complexity | wavelet-LHH_ngtdm_Contrast | wavelet-LHH_ngtdm_Strength | wavelet-HLL_firstorder_10Percentile | wavelet-HLL_firstorder_90Percentile | wavelet-HLL_firstorder_Energy | wavelet-HLL_firstorder_Entropy | wavelet-HLL_firstorder_InterquartileRange | wavelet-HLL_firstorder_Kurtosis | wavelet-HLL_firstorder_Maximum | wavelet-HLL_firstorder_MeanAbsoluteDeviation | wavelet-HLL_firstorder_Mean | wavelet-HLL_firstorder_Median | wavelet-HLL_firstorder_Minimum | wavelet-HLL_firstorder_Range | wavelet-HLL_firstorder_RobustMeanAbsoluteDeviation | wavelet-HLL_firstorder_RootMeanSquared | wavelet-HLL_firstorder_Skewness | wavelet-HLL_firstorder_TotalEnergy | wavelet-HLL_firstorder_Uniformity | wavelet-HLL_firstorder_Variance | wavelet-HLL_glcm_Autocorrelation | wavelet-HLL_glcm_JointAverage | wavelet-HLL_glcm_ClusterProminence | wavelet-HLL_glcm_ClusterShade | wavelet-HLL_glcm_ClusterTendency | wavelet-HLL_glcm_Contrast | wavelet-HLL_glcm_Correlation | wavelet-HLL_glcm_DifferenceAverage | wavelet-HLL_glcm_DifferenceEntropy | wavelet-HLL_glcm_DifferenceVariance | wavelet-HLL_glcm_JointEnergy | wavelet-HLL_glcm_JointEntropy | wavelet-HLL_glcm_Imc1 | wavelet-HLL_glcm_Imc2 | wavelet-HLL_glcm_Idm | wavelet-HLL_glcm_Idmn | wavelet-HLL_glcm_Id | wavelet-HLL_glcm_Idn | wavelet-HLL_glcm_InverseVariance | wavelet-HLL_glcm_MaximumProbability | wavelet-HLL_glcm_SumEntropy | wavelet-HLL_glcm_SumSquares | wavelet-HLL_glrlm_GrayLevelNonUniformity | wavelet-HLL_glrlm_GrayLevelNonUniformityNormalized | wavelet-HLL_glrlm_GrayLevelVariance | wavelet-HLL_glrlm_HighGrayLevelRunEmphasis | wavelet-HLL_glrlm_LongRunEmphasis | wavelet-HLL_glrlm_LongRunHighGrayLevelEmphasis | wavelet-HLL_glrlm_LongRunLowGrayLevelEmphasis | wavelet-HLL_glrlm_LowGrayLevelRunEmphasis | wavelet-HLL_glrlm_RunEntropy | wavelet-HLL_glrlm_RunLengthNonUniformity | wavelet-HLL_glrlm_RunLengthNonUniformityNormalized | wavelet-HLL_glrlm_RunPercentage | wavelet-HLL_glrlm_RunVariance | wavelet-HLL_glrlm_ShortRunEmphasis | wavelet-HLL_glrlm_ShortRunHighGrayLevelEmphasis | wavelet-HLL_glrlm_ShortRunLowGrayLevelEmphasis | wavelet-HLL_glszm_GrayLevelNonUniformity | wavelet-HLL_glszm_GrayLevelNonUniformityNormalized | wavelet-HLL_glszm_GrayLevelVariance | wavelet-HLL_glszm_HighGrayLevelZoneEmphasis | wavelet-HLL_glszm_LargeAreaEmphasis | wavelet-HLL_glszm_LargeAreaHighGrayLevelEmphasis | wavelet-HLL_glszm_LargeAreaLowGrayLevelEmphasis | wavelet-HLL_glszm_LowGrayLevelZoneEmphasis | wavelet-HLL_glszm_SizeZoneNonUniformity | wavelet-HLL_glszm_SizeZoneNonUniformityNormalized | wavelet-HLL_glszm_SmallAreaEmphasis | wavelet-HLL_glszm_SmallAreaHighGrayLevelEmphasis | wavelet-HLL_glszm_SmallAreaLowGrayLevelEmphasis | wavelet-HLL_glszm_ZoneEntropy | wavelet-HLL_glszm_ZonePercentage | wavelet-HLL_glszm_ZoneVariance | wavelet-HLL_gldm_DependenceEntropy | wavelet-HLL_gldm_DependenceNonUniformity | wavelet-HLL_gldm_DependenceNonUniformityNormalized | wavelet-HLL_gldm_DependenceVariance | wavelet-HLL_gldm_GrayLevelNonUniformity | wavelet-HLL_gldm_GrayLevelVariance | wavelet-HLL_gldm_HighGrayLevelEmphasis | wavelet-HLL_gldm_LargeDependenceEmphasis | wavelet-HLL_gldm_LargeDependenceHighGrayLevelEmphasis | wavelet-HLL_gldm_LargeDependenceLowGrayLevelEmphasis | wavelet-HLL_gldm_LowGrayLevelEmphasis | wavelet-HLL_gldm_SmallDependenceEmphasis | wavelet-HLL_gldm_SmallDependenceHighGrayLevelEmphasis | wavelet-HLL_gldm_SmallDependenceLowGrayLevelEmphasis | wavelet-HLL_ngtdm_Busyness | wavelet-HLL_ngtdm_Coarseness | wavelet-HLL_ngtdm_Complexity | wavelet-HLL_ngtdm_Contrast | wavelet-HLL_ngtdm_Strength | wavelet-HLH_firstorder_10Percentile | wavelet-HLH_firstorder_90Percentile | wavelet-HLH_firstorder_Energy | wavelet-HLH_firstorder_Entropy | wavelet-HLH_firstorder_InterquartileRange | wavelet-HLH_firstorder_Kurtosis | wavelet-HLH_firstorder_Maximum | wavelet-HLH_firstorder_MeanAbsoluteDeviation | wavelet-HLH_firstorder_Mean | wavelet-HLH_firstorder_Median | wavelet-HLH_firstorder_Minimum | wavelet-HLH_firstorder_Range | wavelet-HLH_firstorder_RobustMeanAbsoluteDeviation | wavelet-HLH_firstorder_RootMeanSquared | wavelet-HLH_firstorder_Skewness | wavelet-HLH_firstorder_TotalEnergy | wavelet-HLH_firstorder_Uniformity | wavelet-HLH_firstorder_Variance | wavelet-HLH_glcm_Autocorrelation | wavelet-HLH_glcm_JointAverage | wavelet-HLH_glcm_ClusterProminence | wavelet-HLH_glcm_ClusterShade | wavelet-HLH_glcm_ClusterTendency | wavelet-HLH_glcm_Contrast | wavelet-HLH_glcm_Correlation | wavelet-HLH_glcm_DifferenceAverage | wavelet-HLH_glcm_DifferenceEntropy | wavelet-HLH_glcm_DifferenceVariance | wavelet-HLH_glcm_JointEnergy | wavelet-HLH_glcm_JointEntropy | wavelet-HLH_glcm_Imc1 | wavelet-HLH_glcm_Imc2 | wavelet-HLH_glcm_Idm | wavelet-HLH_glcm_Idmn | wavelet-HLH_glcm_Id | wavelet-HLH_glcm_Idn | wavelet-HLH_glcm_InverseVariance | wavelet-HLH_glcm_MaximumProbability | wavelet-HLH_glcm_SumEntropy | wavelet-HLH_glcm_SumSquares | wavelet-HLH_glrlm_GrayLevelNonUniformity | wavelet-HLH_glrlm_GrayLevelNonUniformityNormalized | wavelet-HLH_glrlm_GrayLevelVariance | wavelet-HLH_glrlm_HighGrayLevelRunEmphasis | wavelet-HLH_glrlm_LongRunEmphasis | wavelet-HLH_glrlm_LongRunHighGrayLevelEmphasis | wavelet-HLH_glrlm_LongRunLowGrayLevelEmphasis | wavelet-HLH_glrlm_LowGrayLevelRunEmphasis | wavelet-HLH_glrlm_RunEntropy | wavelet-HLH_glrlm_RunLengthNonUniformity | wavelet-HLH_glrlm_RunLengthNonUniformityNormalized | wavelet-HLH_glrlm_RunPercentage | wavelet-HLH_glrlm_RunVariance | wavelet-HLH_glrlm_ShortRunEmphasis | wavelet-HLH_glrlm_ShortRunHighGrayLevelEmphasis | wavelet-HLH_glrlm_ShortRunLowGrayLevelEmphasis | wavelet-HLH_glszm_GrayLevelNonUniformity | wavelet-HLH_glszm_GrayLevelNonUniformityNormalized | wavelet-HLH_glszm_GrayLevelVariance | wavelet-HLH_glszm_HighGrayLevelZoneEmphasis | wavelet-HLH_glszm_LargeAreaEmphasis | wavelet-HLH_glszm_LargeAreaHighGrayLevelEmphasis | wavelet-HLH_glszm_LargeAreaLowGrayLevelEmphasis | wavelet-HLH_glszm_LowGrayLevelZoneEmphasis | wavelet-HLH_glszm_SizeZoneNonUniformity | wavelet-HLH_glszm_SizeZoneNonUniformityNormalized | wavelet-HLH_glszm_SmallAreaEmphasis | wavelet-HLH_glszm_SmallAreaHighGrayLevelEmphasis | wavelet-HLH_glszm_SmallAreaLowGrayLevelEmphasis | wavelet-HLH_glszm_ZoneEntropy | wavelet-HLH_glszm_ZonePercentage | wavelet-HLH_glszm_ZoneVariance | wavelet-HLH_gldm_DependenceEntropy | wavelet-HLH_gldm_DependenceNonUniformity | wavelet-HLH_gldm_DependenceNonUniformityNormalized | wavelet-HLH_gldm_DependenceVariance | wavelet-HLH_gldm_GrayLevelNonUniformity | wavelet-HLH_gldm_GrayLevelVariance | wavelet-HLH_gldm_HighGrayLevelEmphasis | wavelet-HLH_gldm_LargeDependenceEmphasis | wavelet-HLH_gldm_LargeDependenceHighGrayLevelEmphasis | wavelet-HLH_gldm_LargeDependenceLowGrayLevelEmphasis | wavelet-HLH_gldm_LowGrayLevelEmphasis | wavelet-HLH_gldm_SmallDependenceEmphasis | wavelet-HLH_gldm_SmallDependenceHighGrayLevelEmphasis | wavelet-HLH_gldm_SmallDependenceLowGrayLevelEmphasis | wavelet-HLH_ngtdm_Busyness | wavelet-HLH_ngtdm_Coarseness | wavelet-HLH_ngtdm_Complexity | wavelet-HLH_ngtdm_Contrast | wavelet-HLH_ngtdm_Strength | wavelet-HHL_firstorder_10Percentile | wavelet-HHL_firstorder_90Percentile | wavelet-HHL_firstorder_Energy | wavelet-HHL_firstorder_Entropy | wavelet-HHL_firstorder_InterquartileRange | wavelet-HHL_firstorder_Kurtosis | wavelet-HHL_firstorder_Maximum | wavelet-HHL_firstorder_MeanAbsoluteDeviation | wavelet-HHL_firstorder_Mean | wavelet-HHL_firstorder_Median | wavelet-HHL_firstorder_Minimum | wavelet-HHL_firstorder_Range | wavelet-HHL_firstorder_RobustMeanAbsoluteDeviation | wavelet-HHL_firstorder_RootMeanSquared | wavelet-HHL_firstorder_Skewness | wavelet-HHL_firstorder_TotalEnergy | wavelet-HHL_firstorder_Uniformity | wavelet-HHL_firstorder_Variance | wavelet-HHL_glcm_Autocorrelation | wavelet-HHL_glcm_JointAverage | wavelet-HHL_glcm_ClusterProminence | wavelet-HHL_glcm_ClusterShade | wavelet-HHL_glcm_ClusterTendency | wavelet-HHL_glcm_Contrast | wavelet-HHL_glcm_Correlation | wavelet-HHL_glcm_DifferenceAverage | wavelet-HHL_glcm_DifferenceEntropy | wavelet-HHL_glcm_DifferenceVariance | wavelet-HHL_glcm_JointEnergy | wavelet-HHL_glcm_JointEntropy | wavelet-HHL_glcm_Imc1 | wavelet-HHL_glcm_Imc2 | wavelet-HHL_glcm_Idm | wavelet-HHL_glcm_Idmn | wavelet-HHL_glcm_Id | wavelet-HHL_glcm_Idn | wavelet-HHL_glcm_InverseVariance | wavelet-HHL_glcm_MaximumProbability | wavelet-HHL_glcm_SumEntropy | wavelet-HHL_glcm_SumSquares | wavelet-HHL_glrlm_GrayLevelNonUniformity | wavelet-HHL_glrlm_GrayLevelNonUniformityNormalized | wavelet-HHL_glrlm_GrayLevelVariance | wavelet-HHL_glrlm_HighGrayLevelRunEmphasis | wavelet-HHL_glrlm_LongRunEmphasis | wavelet-HHL_glrlm_LongRunHighGrayLevelEmphasis | wavelet-HHL_glrlm_LongRunLowGrayLevelEmphasis | wavelet-HHL_glrlm_LowGrayLevelRunEmphasis | wavelet-HHL_glrlm_RunEntropy | wavelet-HHL_glrlm_RunLengthNonUniformity | wavelet-HHL_glrlm_RunLengthNonUniformityNormalized | wavelet-HHL_glrlm_RunPercentage | wavelet-HHL_glrlm_RunVariance | wavelet-HHL_glrlm_ShortRunEmphasis | wavelet-HHL_glrlm_ShortRunHighGrayLevelEmphasis | wavelet-HHL_glrlm_ShortRunLowGrayLevelEmphasis | wavelet-HHL_glszm_GrayLevelNonUniformity | wavelet-HHL_glszm_GrayLevelNonUniformityNormalized | wavelet-HHL_glszm_GrayLevelVariance | wavelet-HHL_glszm_HighGrayLevelZoneEmphasis | wavelet-HHL_glszm_LargeAreaEmphasis | wavelet-HHL_glszm_LargeAreaHighGrayLevelEmphasis | wavelet-HHL_glszm_LargeAreaLowGrayLevelEmphasis | wavelet-HHL_glszm_LowGrayLevelZoneEmphasis | wavelet-HHL_glszm_SizeZoneNonUniformity | wavelet-HHL_glszm_SizeZoneNonUniformityNormalized | wavelet-HHL_glszm_SmallAreaEmphasis | wavelet-HHL_glszm_SmallAreaHighGrayLevelEmphasis | wavelet-HHL_glszm_SmallAreaLowGrayLevelEmphasis | wavelet-HHL_glszm_ZoneEntropy | wavelet-HHL_glszm_ZonePercentage | wavelet-HHL_glszm_ZoneVariance | wavelet-HHL_gldm_DependenceEntropy | wavelet-HHL_gldm_DependenceNonUniformity | wavelet-HHL_gldm_DependenceNonUniformityNormalized | wavelet-HHL_gldm_DependenceVariance | wavelet-HHL_gldm_GrayLevelNonUniformity | wavelet-HHL_gldm_GrayLevelVariance | wavelet-HHL_gldm_HighGrayLevelEmphasis | wavelet-HHL_gldm_LargeDependenceEmphasis | wavelet-HHL_gldm_LargeDependenceHighGrayLevelEmphasis | wavelet-HHL_gldm_LargeDependenceLowGrayLevelEmphasis | wavelet-HHL_gldm_LowGrayLevelEmphasis | wavelet-HHL_gldm_SmallDependenceEmphasis | wavelet-HHL_gldm_SmallDependenceHighGrayLevelEmphasis | wavelet-HHL_gldm_SmallDependenceLowGrayLevelEmphasis | wavelet-HHL_ngtdm_Busyness | wavelet-HHL_ngtdm_Coarseness | wavelet-HHL_ngtdm_Complexity | wavelet-HHL_ngtdm_Contrast | wavelet-HHL_ngtdm_Strength | wavelet-HHH_firstorder_10Percentile | wavelet-HHH_firstorder_90Percentile | wavelet-HHH_firstorder_Energy | wavelet-HHH_firstorder_Entropy | wavelet-HHH_firstorder_InterquartileRange | wavelet-HHH_firstorder_Kurtosis | wavelet-HHH_firstorder_Maximum | wavelet-HHH_firstorder_MeanAbsoluteDeviation | wavelet-HHH_firstorder_Mean | wavelet-HHH_firstorder_Median | wavelet-HHH_firstorder_Minimum | wavelet-HHH_firstorder_Range | wavelet-HHH_firstorder_RobustMeanAbsoluteDeviation | wavelet-HHH_firstorder_RootMeanSquared | wavelet-HHH_firstorder_Skewness | wavelet-HHH_firstorder_TotalEnergy | wavelet-HHH_firstorder_Uniformity | wavelet-HHH_firstorder_Variance | wavelet-HHH_glcm_Autocorrelation | wavelet-HHH_glcm_JointAverage | wavelet-HHH_glcm_ClusterProminence | wavelet-HHH_glcm_ClusterShade | wavelet-HHH_glcm_ClusterTendency | wavelet-HHH_glcm_Contrast | wavelet-HHH_glcm_Correlation | wavelet-HHH_glcm_DifferenceAverage | wavelet-HHH_glcm_DifferenceEntropy | wavelet-HHH_glcm_DifferenceVariance | wavelet-HHH_glcm_JointEnergy | wavelet-HHH_glcm_JointEntropy | wavelet-HHH_glcm_Imc1 | wavelet-HHH_glcm_Imc2 | wavelet-HHH_glcm_Idm | wavelet-HHH_glcm_Idmn | wavelet-HHH_glcm_Id | wavelet-HHH_glcm_Idn | wavelet-HHH_glcm_InverseVariance | wavelet-HHH_glcm_MaximumProbability | wavelet-HHH_glcm_SumEntropy | wavelet-HHH_glcm_SumSquares | wavelet-HHH_glrlm_GrayLevelNonUniformity | wavelet-HHH_glrlm_GrayLevelNonUniformityNormalized | wavelet-HHH_glrlm_GrayLevelVariance | wavelet-HHH_glrlm_HighGrayLevelRunEmphasis | wavelet-HHH_glrlm_LongRunEmphasis | wavelet-HHH_glrlm_LongRunHighGrayLevelEmphasis | wavelet-HHH_glrlm_LongRunLowGrayLevelEmphasis | wavelet-HHH_glrlm_LowGrayLevelRunEmphasis | wavelet-HHH_glrlm_RunEntropy | wavelet-HHH_glrlm_RunLengthNonUniformity | wavelet-HHH_glrlm_RunLengthNonUniformityNormalized | wavelet-HHH_glrlm_RunPercentage | wavelet-HHH_glrlm_RunVariance | wavelet-HHH_glrlm_ShortRunEmphasis | wavelet-HHH_glrlm_ShortRunHighGrayLevelEmphasis | wavelet-HHH_glrlm_ShortRunLowGrayLevelEmphasis | wavelet-HHH_glszm_GrayLevelNonUniformity | wavelet-HHH_glszm_GrayLevelNonUniformityNormalized | wavelet-HHH_glszm_GrayLevelVariance | wavelet-HHH_glszm_HighGrayLevelZoneEmphasis | wavelet-HHH_glszm_LargeAreaEmphasis | wavelet-HHH_glszm_LargeAreaHighGrayLevelEmphasis | wavelet-HHH_glszm_LargeAreaLowGrayLevelEmphasis | wavelet-HHH_glszm_LowGrayLevelZoneEmphasis | wavelet-HHH_glszm_SizeZoneNonUniformity | wavelet-HHH_glszm_SizeZoneNonUniformityNormalized | wavelet-HHH_glszm_SmallAreaEmphasis | wavelet-HHH_glszm_SmallAreaHighGrayLevelEmphasis | wavelet-HHH_glszm_SmallAreaLowGrayLevelEmphasis | wavelet-HHH_glszm_ZoneEntropy | wavelet-HHH_glszm_ZonePercentage | wavelet-HHH_glszm_ZoneVariance | wavelet-HHH_gldm_DependenceEntropy | wavelet-HHH_gldm_DependenceNonUniformity | wavelet-HHH_gldm_DependenceNonUniformityNormalized | wavelet-HHH_gldm_DependenceVariance | wavelet-HHH_gldm_GrayLevelNonUniformity | wavelet-HHH_gldm_GrayLevelVariance | wavelet-HHH_gldm_HighGrayLevelEmphasis | wavelet-HHH_gldm_LargeDependenceEmphasis | wavelet-HHH_gldm_LargeDependenceHighGrayLevelEmphasis | wavelet-HHH_gldm_LargeDependenceLowGrayLevelEmphasis | wavelet-HHH_gldm_LowGrayLevelEmphasis | wavelet-HHH_gldm_SmallDependenceEmphasis | wavelet-HHH_gldm_SmallDependenceHighGrayLevelEmphasis | wavelet-HHH_gldm_SmallDependenceLowGrayLevelEmphasis | wavelet-HHH_ngtdm_Busyness | wavelet-HHH_ngtdm_Coarseness | wavelet-HHH_ngtdm_Complexity | wavelet-HHH_ngtdm_Contrast | wavelet-HHH_ngtdm_Strength | wavelet-LLL_firstorder_10Percentile | wavelet-LLL_firstorder_90Percentile | wavelet-LLL_firstorder_Energy | wavelet-LLL_firstorder_Entropy | wavelet-LLL_firstorder_InterquartileRange | wavelet-LLL_firstorder_Kurtosis | wavelet-LLL_firstorder_Maximum | wavelet-LLL_firstorder_MeanAbsoluteDeviation | wavelet-LLL_firstorder_Mean | wavelet-LLL_firstorder_Median | wavelet-LLL_firstorder_Minimum | wavelet-LLL_firstorder_Range | wavelet-LLL_firstorder_RobustMeanAbsoluteDeviation | wavelet-LLL_firstorder_RootMeanSquared | wavelet-LLL_firstorder_Skewness | wavelet-LLL_firstorder_TotalEnergy | wavelet-LLL_firstorder_Uniformity | wavelet-LLL_firstorder_Variance | wavelet-LLL_glcm_Autocorrelation | wavelet-LLL_glcm_JointAverage | wavelet-LLL_glcm_ClusterProminence | wavelet-LLL_glcm_ClusterShade | wavelet-LLL_glcm_ClusterTendency | wavelet-LLL_glcm_Contrast | wavelet-LLL_glcm_Correlation | wavelet-LLL_glcm_DifferenceAverage | wavelet-LLL_glcm_DifferenceEntropy | wavelet-LLL_glcm_DifferenceVariance | wavelet-LLL_glcm_JointEnergy | wavelet-LLL_glcm_JointEntropy | wavelet-LLL_glcm_Imc1 | wavelet-LLL_glcm_Imc2 | wavelet-LLL_glcm_Idm | wavelet-LLL_glcm_Idmn | wavelet-LLL_glcm_Id | wavelet-LLL_glcm_Idn | wavelet-LLL_glcm_InverseVariance | wavelet-LLL_glcm_MaximumProbability | wavelet-LLL_glcm_SumEntropy | wavelet-LLL_glcm_SumSquares | wavelet-LLL_glrlm_GrayLevelNonUniformity | wavelet-LLL_glrlm_GrayLevelNonUniformityNormalized | wavelet-LLL_glrlm_GrayLevelVariance | wavelet-LLL_glrlm_HighGrayLevelRunEmphasis | wavelet-LLL_glrlm_LongRunEmphasis | wavelet-LLL_glrlm_LongRunHighGrayLevelEmphasis | wavelet-LLL_glrlm_LongRunLowGrayLevelEmphasis | wavelet-LLL_glrlm_LowGrayLevelRunEmphasis | wavelet-LLL_glrlm_RunEntropy | wavelet-LLL_glrlm_RunLengthNonUniformity | wavelet-LLL_glrlm_RunLengthNonUniformityNormalized | wavelet-LLL_glrlm_RunPercentage | wavelet-LLL_glrlm_RunVariance | wavelet-LLL_glrlm_ShortRunEmphasis | wavelet-LLL_glrlm_ShortRunHighGrayLevelEmphasis | wavelet-LLL_glrlm_ShortRunLowGrayLevelEmphasis | wavelet-LLL_glszm_GrayLevelNonUniformity | wavelet-LLL_glszm_GrayLevelNonUniformityNormalized | wavelet-LLL_glszm_GrayLevelVariance | wavelet-LLL_glszm_HighGrayLevelZoneEmphasis | wavelet-LLL_glszm_LargeAreaEmphasis | wavelet-LLL_glszm_LargeAreaHighGrayLevelEmphasis | wavelet-LLL_glszm_LargeAreaLowGrayLevelEmphasis | wavelet-LLL_glszm_LowGrayLevelZoneEmphasis | wavelet-LLL_glszm_SizeZoneNonUniformity | wavelet-LLL_glszm_SizeZoneNonUniformityNormalized | wavelet-LLL_glszm_SmallAreaEmphasis | wavelet-LLL_glszm_SmallAreaHighGrayLevelEmphasis | wavelet-LLL_glszm_SmallAreaLowGrayLevelEmphasis | wavelet-LLL_glszm_ZoneEntropy | wavelet-LLL_glszm_ZonePercentage | wavelet-LLL_glszm_ZoneVariance | wavelet-LLL_gldm_DependenceEntropy | wavelet-LLL_gldm_DependenceNonUniformity | wavelet-LLL_gldm_DependenceNonUniformityNormalized | wavelet-LLL_gldm_DependenceVariance | wavelet-LLL_gldm_GrayLevelNonUniformity | wavelet-LLL_gldm_GrayLevelVariance | wavelet-LLL_gldm_HighGrayLevelEmphasis | wavelet-LLL_gldm_LargeDependenceEmphasis | wavelet-LLL_gldm_LargeDependenceHighGrayLevelEmphasis | wavelet-LLL_gldm_LargeDependenceLowGrayLevelEmphasis | wavelet-LLL_gldm_LowGrayLevelEmphasis | wavelet-LLL_gldm_SmallDependenceEmphasis | wavelet-LLL_gldm_SmallDependenceHighGrayLevelEmphasis | wavelet-LLL_gldm_SmallDependenceLowGrayLevelEmphasis | wavelet-LLL_ngtdm_Busyness | wavelet-LLL_ngtdm_Coarseness | wavelet-LLL_ngtdm_Complexity | wavelet-LLL_ngtdm_Contrast | wavelet-LLL_ngtdm_Strength |
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1 | EGFR1 | C:\Users\19266\Desktop\VOI&feature_extraction\image1.nrrd | C:\Users\19266\Desktop\VOI&feature_extraction\label1.nrrd | v3.0.1 | 1.17.0 | 2.0.0 | 1.1.1 | 3.6.6 | {'minimumROIDimensions': 2, 'minimumROISize': None, 'normalize': False, 'normalizeScale': 1, 'removeOutliers': None, 'resampledPixelSpacing': [1, 1, 1], 'interpolator': 'sitkBSpline', 'preCrop': False, 'padDistance': 10, 'distances': [1], 'force2D': False, 'force2Ddimension': 0, 'resegmentRange': None, 'label': 1, 'additionalInfo': True, 'binWidth': 25, 'voxelArrayShift': 1000} | {'Original': {}, 'LoG': {'sigma': [1.0, 2.0, 3.0, 4.0, 5.0]}, 'Wavelet': {'wavelet': 'coif1'}} | d6b0debafc73690c9826ddbb778d98cdd3aa04f2 | 3D | (0.849609375, 0.849609375, 5.0) | (512, 512, 54) | -593.5541368 | -1024 | 1921 | c0ca7ff6b2f288c76b52672393c7385aa36ff245 | (0.849609375, 0.849609375, 5.0) | (512, 512, 54) | (329, 245, 26, 47, 58, 11) | 6165 | 1 | (352.4793187347932, 274.77080291970805, 29.87785888077859) | (86.96973369069343, 186.94785013686132, -648.0107300101695) | (1.0, 1.0, 1.0) | (62, 72, 77) | -451.3085754 | -1192 | 1364 | (1.0, 1.0, 1.0) | (62, 72, 77) | (11, 11, 13, 39, 49, 55) | 22295 | 1 | (30.337071092173133, 36.37923301188607, 34.323839425880244) | (86.91226640467313, 186.95442832438607, -648.0761849881823) | -39.80251177 | -793 | 232 | 0.880079697 | 0.666117967 | 26.88635 | 40.36274556 | 60.00833275 | 51.2249939 | 50.69516742 | 63.28506933 | 22227.33333 | 35.5224329 | 0.516551856 | 7401.080127 | 0.332972022 | 22295 | -275 | 94 | 21079456481 | 4.180596793 | 174 | 4.853640611 | 232 | 119.7212767 | -39.80251177 | 21 | -793 | 1025 | 78.29223604 | 972.3574948 | -1.466494777 | 21079456481 | 0.078794124 | 23499.8812 | 1028.649347 | 31.72259275 | 59010.51873 | -1710.356884 | 103.6377726 | 14.50574398 | 0.749478755 | 2.638552394 | 2.979840491 | 7.350041052 | 0.014377074 | 7.385936972 | -0.151855874 | 0.814047907 | 0.353564141 | 0.992181756 | 0.428056456 | 0.944079735 | 0.33767473 | 0.0418891 | 4.800972397 | 29.53587913 | 1337.405989 | 0.069784752 | 40.39138118 | 969.4279752 | 1.699356065 | 1774.57378 | 0.002345246 | 0.001681912 | 4.922245813 | 14792.37704 | 0.771410708 | 0.856370004 | 0.310621302 | 0.899231815 | 856.2206126 | 0.001580099 | 178.2237777 | 0.038385479 | 56.20400809 | 697.8981262 | 5404.147103 | 6502275.07 | 4.509104532 | 0.003345162 | 1719.024553 | 0.37024005 | 0.630619644 | 405.4424714 | 0.002620948 | 6.92366594 | 0.208252972 | 5381.089318 | 7.132548256 | 2444.521866 | 0.109644399 | 10.07979358 | 1756.715003 | 37.69392175 | 994.3633999 | 32.49414667 | 37861.63678 | 0.030071977 | 0.001577529 | 0.196103292 | 145.1701151 | 0.000638539 | 1.179638624 | 0.000445733 | 1582.794089 | 0.079287337 | 0.569052125 | -99.02745972 | 15.76223869 | 20973266128 | 2.946001716 | 57.52446987 | 5.48577977 | 336.4391174 | 38.27326472 | -31.44425645 | -21.26999283 | -323.9182129 | 660.3573303 | 24.64896666 | 969.9052172 | -0.594403711 | 20973266128 | 0.171144926 | 2615.902067 | 153.2473897 | 12.28761942 | 790.6885003 | -35.85732216 | 12.15248098 | 3.110010411 | 0.58718033 | 1.153155306 | 2.023074904 | 1.722691099 | 0.053066573 | 5.248842376 | -0.159223864 | 0.735640062 | 0.578586991 | 0.995862882 | 0.613915102 | 0.961011539 | 0.442444131 | 0.138892993 | 3.654344991 | 3.815622848 | 2259.790189 | 0.145665287 | 5.105079575 | 151.0545229 | 3.366925826 | 540.352023 | 0.023961037 | 0.008498904 | 4.330451881 | 8957.82692 | 0.570790772 | 0.693646385 | 1.147354707 | 0.781413378 | 116.6953458 | 0.006941914 | 105.7580175 | 0.077083103 | 14.6270405 | 171.4424198 | 49302.65087 | 8143531.816 | 304.2882055 | 0.012606175 | 336.7725948 | 0.245461075 | 0.502502 | 92.19437617 | 0.005951708 | 6.569239014 | 0.061538462 | 49038.58837 | 6.88335243 | 1255.176721 | 0.056298575 | 28.5959628 | 3815.676116 | 4.263684029 | 154.1539807 | 108.9706661 | 18064.26566 | 0.692884339 | 0.007962696 | 0.0664023 | 10.89648547 | 0.000714932 | 4.743299834 | 0.000438372 | 240.5675702 | 0.011600724 | 0.167815975 | -157.6210754 | -0.169577098 | 19341224802 | 3.364443201 | 95.1194725 | 3.023270825 | 207.3990021 | 52.20993614 | -70.83426798 | -66.71364594 | -300.1358032 | 507.5348053 | 37.86725582 | 931.4043202 | -0.250057542 | 19341224802 | 0.115614475 | 4165.050147 | 117.352331 | 10.58963059 | 1516.907603 | -41.31599121 | 23.10518973 | 2.258061277 | 0.821083155 | 1.001843796 | 1.893293256 | 1.217943312 | 0.035386246 | 5.662690815 | -0.287427457 | 0.913675722 | 0.609846434 | 0.995452397 | 0.641576678 | 0.958560557 | 0.431293962 | 0.122448057 | 4.20765924 | 6.340812753 | 1560.275216 | 0.105910504 | 7.277964515 | 115.6455202 | 3.957435023 | 523.0586401 | 0.038568277 | 0.012348054 | 4.738385196 | 8460.06138 | 0.569777336 | 0.660427485 | 1.602927382 | 0.781892118 | 89.57134741 | 0.009867665 | 83.02918288 | 0.080767688 | 12.9519864 | 163.6108949 | 37242.85506 | 4725703.681 | 322.983373 | 0.011669161 | 231.7023346 | 0.225391376 | 0.482818572 | 86.59788059 | 0.004760005 | 6.555724489 | 0.046108993 | 36772.49685 | 7.431898011 | 1176.87477 | 0.052786489 | 39.52061887 | 2577.624714 | 6.713024699 | 120.2886746 | 136.1276071 | 19064.86432 | 1.1775748 | 0.011528388 | 0.055321402 | 8.062554665 | 0.000611287 | 3.795794567 | 0.000837789 | 120.5387102 | 0.016527983 | 0.165427362 | -198.5355347 | -17.6399929 | 17957164475 | 3.537697809 | 99.64122391 | 2.944885338 | 223.1593933 | 57.17908682 | -105.3366906 | -106.3743439 | -324.1648865 | 547.3242798 | 41.05818128 | 897.4600844 | 0.069340635 | 17957164475 | 0.098939468 | 5012.165898 | 89.17110202 | 9.086035483 | 2208.733495 | -4.288587628 | 28.29870801 | 1.849020752 | 0.876656845 | 0.945198681 | 1.780038636 | 0.919102067 | 0.025813745 | 5.797309543 | -0.33374696 | 0.943156981 | 0.611902074 | 0.996243949 | 0.640996701 | 0.960463483 | 0.46321898 | 0.053521448 | 4.416550006 | 7.536932192 | 1470.999647 | 0.098102031 | 8.393551245 | 95.11285637 | 3.641374256 | 356.9071012 | 0.061745587 | 0.018335388 | 4.831641204 | 8740.606145 | 0.577462592 | 0.672272155 | 1.366255383 | 0.786629267 | 76.55655451 | 0.013891708 | 66.85094851 | 0.090583941 | 11.30810034 | 165.9363144 | 49267.91463 | 4274665.385 | 674.0507058 | 0.012236705 | 116.1544715 | 0.157390883 | 0.384129272 | 68.08360068 | 0.002910385 | 6.738735624 | 0.033101592 | 48355.2689 | 7.565693785 | 1271.676205 | 0.057038628 | 30.95070594 | 2205.855438 | 8.099776315 | 94.38008522 | 121.5986993 | 12092.81525 | 2.072615384 | 0.018387482 | 0.044857699 | 5.95018943 | 0.000556506 | 3.683140788 | 0.001100597 | 100.1353824 | 0.016489179 | 0.223430003 | -238.6322968 | -40.53986282 | 16768114846 | 3.687411843 | 106.2666092 | 3.373679314 | 214.6195068 | 62.70628635 | -136.3724955 | -138.125885 | -330.5900269 | 545.2095337 | 43.76690078 | 867.2381645 | 0.349189861 | 16768114846 | 0.090287311 | 6249.56728 | 84.07625859 | 8.710644574 | 3899.234751 | 52.69526606 | 34.33889895 | 1.567625761 | 0.911807254 | 0.877649752 | 1.690440554 | 0.767627581 | 0.024935372 | 5.84389569 | 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-360.5105591 | 600.103363 | 50.09833988 | 841.8935031 | 0.62953219 | 15802354231 | 0.078930183 | 8742.521926 | 84.03789718 | 8.51188572 | 8988.460786 | 207.1686277 | 47.72366875 | 1.444368922 | 0.940492236 | 0.846270678 | 1.641394568 | 0.700339566 | 0.023507956 | 5.9473393 | -0.429109314 | 0.977773407 | 0.635509847 | 0.997708745 | 0.660435335 | 0.968281701 | 0.466936842 | 0.055084306 | 4.751842448 | 12.29200942 | 1093.798213 | 0.075276315 | 14.64133008 | 105.5491078 | 3.963583105 | 316.0812777 | 0.118257803 | 0.022166845 | 5.235770146 | 8198.160797 | 0.557182061 | 0.651850191 | 1.53050545 | 0.772294121 | 87.48828291 | 0.014728841 | 33.62465753 | 0.092122349 | 13.33491462 | 223.4657534 | 93115.74521 | 6403087.641 | 2030.461099 | 0.01311443 | 34.12876712 | 0.093503472 | 0.26518041 | 60.85826835 | 0.001674909 | 7.024856672 | 0.016371384 | 89384.71105 | 7.831875285 | 1293.261763 | 0.058006807 | 29.8130952 | 1759.748419 | 14.05241182 | 94.49468491 | 130.8536892 | 8651.469702 | 4.799798888 | 0.025997698 | 0.030398253 | 4.714703939 | 0.00038185 | 2.461001378 | 0.001708724 | 105.2723927 | 0.017606193 | 0.491060954 | -36.193547 | 7.18968152 | 21855337524 | 1.769511463 | 21.18405276 | 5.200151228 | 83.86903589 | 14.68103029 | -10.10028033 | -4.621278961 | -108.723615 | 192.5926508 | 9.35466008 | 990.0907899 | -0.977158144 | 21855337524 | 0.354497559 | 378.3173122 | 26.54045234 | 5.104622991 | 25.84439747 | -3.030108711 | 2.3500275 | 0.416983665 | 0.697265821 | 0.381843584 | 1.031901167 | 0.265862563 | 0.190545184 | 2.962999666 | -0.278443063 | 0.77321021 | 0.812591645 | 0.994947337 | 0.814813305 | 0.962132877 | 0.352240277 | 0.343757713 | 2.496807693 | 0.691752791 | 2939.111518 | 0.304059024 | 0.970767204 | 26.53487584 | 10.56507242 | 285.8001192 | 0.431452338 | 0.0472198 | 4.193791977 | 2970.935296 | 0.297240407 | 0.433481119 | 4.631721373 | 0.543354178 | 14.40163436 | 0.027373994 | 29.65030675 | 0.181903722 | 3.715382589 | 28.22699387 | 1012370.018 | 28096032.33 | 37692.14589 | 0.082278792 | 15.02453988 | 0.092175091 | 0.253810741 | 7.393994988 | 0.022698216 | 6.073956952 | 0.007311056 | 993661.485 | 6.222068157 | 979.6868805 | 0.043942 | 38.41989503 | 7903.523077 | 0.734282215 | 26.79394483 | 285.8367795 | 7774.297331 | 11.46895718 | 0.04385753 | 0.011099256 | 0.308213995 | 0.000667435 | 33.67053388 | 0.00044976 | 11.68407411 | 0.006431923 | 0.018976537 | -136.2543995 | 104.3580754 | 21995272470 | 4.056314747 | 114.8893979 | 6.329945463 | 698.9995232 | 77.01694213 | -12.43266686 | -10.32250071 | -697.3587262 | 1396.358249 | 48.31517348 | 993.2553998 | -0.047690777 | 21995272470 | 0.077665428 | 11267.0518 | 783.5383942 | 27.9565253 | 11063.92581 | -52.49923904 | 36.53487981 | 28.65289382 | 0.105653698 | 3.783519166 | 3.34859391 | 12.87524336 | 0.009002205 | 7.644728047 | -0.082236267 | 0.582883469 | 0.271285724 | 0.991368206 | 0.35527277 | 0.940064061 | 0.267271363 | 0.022790408 | 4.470296794 | 16.29694341 | 1486.179983 | 0.07426461 | 19.24997472 | 802.9436347 | 1.474803783 | 1181.751864 | 0.002247141 | 0.00158407 | 4.601002783 | 16704.95389 | 0.82834691 | 0.896855107 | 0.196664202 | 0.925390008 | 743.6295389 | 0.00147523 | 294.9046966 | 0.050549314 | 37.43801594 | 818.6376414 | 1786.820535 | 1442014.69 | 2.225559212 | 0.001863216 | 1974.776826 | 0.338494485 | 0.600733438 | 496.1436324 | 0.001132199 | 6.801194199 | 0.261673021 | 1772.216189 | 6.790029125 | 3328.811976 | 0.149307557 | 4.974260524 | 1731.550706 | 18.09638367 | 802.2295133 | 18.52967033 | 14758.38686 | 0.025438439 | 0.001566543 | 0.234544991 | 191.7459234 | 0.000413449 | 1.413123413 | 0.000295 | 4146.134525 | 0.036196772 | 0.454922724 | -5.940376707 | 6.716284237 | 22308235533 | 1.035864989 | 5.829078434 | 8.634663503 | 54.79973464 | 4.095237325 | 0.279843102 | 0.188645758 | -43.51763125 | 98.3173659 | 2.494431265 | 1000.296783 | 0.127273783 | 22308235533 | 0.496734828 | 33.89023213 | 6.354373051 | 2.5184292 | 0.612551311 | -0.014480374 | 0.534553573 | 0.487029454 | 0.045321021 | 0.481563269 | 0.952499447 | 0.23280813 | 0.270642764 | 1.977265287 | -0.072847038 | 0.302634627 | 0.759763884 | 0.981323264 | 0.760044103 | 0.919863461 | 0.477578169 | 0.315188635 | 1.479624119 | 0.255395757 | 5888.75878 | 0.49360052 | 0.263619003 | 6.517124932 | 7.188215166 | 47.76896349 | 1.273885016 | 0.182787993 | 2.935953771 | 4770.087931 | 0.368406367 | 0.534852589 | 2.045263427 | 0.583076719 | 3.752063991 | 0.108664664 | 9.810810811 | 0.265157049 | 1.478451424 | 7.135135135 | 6627212.568 | 44262675.76 | 1163648.08 | 0.406674174 | 5.918918919 | 0.159970782 | 0.368765579 | 3.252194995 | 0.123760587 | 4.388790447 | 0.001659565 | 6264124.894 | 5.07037658 | 1550.783808 | 0.069557471 | 16.60846387 | 11074.70298 | 0.257720946 | 6.589055842 | 188.0569186 | 1266.57255 | 32.76114197 | 0.179686066 | 0.009700264 | 0.062748366 | 0.001985819 | 322.0813336 | 0.000191788 | 5.667900041 | 0.012230825 | 0.002355019 | -101.6923058 | 68.86824982 | 21983888873 | 3.603321165 | 76.63416138 | 6.388305554 | 493.1392524 | 56.41677124 | -10.30887455 | -5.614299608 | -430.1600147 | 923.2992671 | 32.98332938 | 992.9983382 | -0.06228712 | 21983888873 | 0.112600302 | 6557.175822 | 328.1358003 | 18.0576938 | 4032.816269 | -34.44333576 | 23.12614402 | 14.9044966 | 0.205576609 | 2.59996862 | 2.904499222 | 7.558953685 | 0.020126274 | 6.72272689 | -0.087039534 | 0.566829332 | 0.366380525 | 0.990410427 | 0.438255922 | 0.939984993 | 0.343492545 | 0.050021818 | 4.079003234 | 9.507660155 | 1952.861465 | 0.103135714 | 11.80406673 | 337.6195425 | 1.858198766 | 628.0386523 | 0.006475806 | 0.003777862 | 4.38317409 | 14486.60309 | 0.756337321 | 0.846464368 | 0.376762694 | 0.888329045 | 300.0392593 | 0.003417259 | 218.2262278 | 0.057007896 | 28.79296662 | 349.2385057 | 7912.498694 | 2692405.483 | 23.44283131 | 0.005251011 | 1145.054859 | 0.299126139 | 0.56196877 | 200.4222409 | 0.003352293 | 6.780989262 | 0.17169769 | 7878.577503 | 6.723363827 | 2355.431307 | 0.10564841 | 9.891480007 | 2510.423727 | 10.57441096 | 337.5879794 | 34.8108096 | 11784.63081 | 0.107690907 | 0.003678838 | 0.160566181 | 55.80608491 | 0.000820386 | 2.979099891 | 0.000317648 | 1299.188674 | 0.030207623 | 0.225470293 | -4.12301308 | 4.778804857 | 22304534014 | 0.999690487 | 3.983432891 | 6.538728914 | 24.73851296 | 2.883682374 | 0.205327076 | 0.161521897 | -27.25682461 | 51.99533758 | 1.713441807 | 1000.213792 | -0.042564766 | 22304534014 | 0.500987852 | 16.93384636 | 6.384397246 | 2.522981634 | 0.538055048 | -0.028516459 | 0.537013599 | 0.461191007 | 0.075932762 | 0.461105214 | 0.947553548 | 0.23265182 | 0.268467511 | 1.945071376 | -0.053118197 | 0.218573433 | 0.769455972 | 0.953884859 | 0.769461692 | 0.884727986 | 0.461030145 | 0.30736664 | 1.483448633 | 0.249551152 | 5784.945019 | 0.499894189 | 0.250339891 | 6.524972292 | 7.133734897 | 47.79242925 | 1.24862978 | 0.179988205 | 2.930399368 | 4381.056793 | 0.354512882 | 0.519036693 | 2.009860049 | 0.572144528 | 3.678990144 | 0.1045399 | 8.4 | 0.42 | 0.41 | 5.7 | 12370321.65 | 83237551.3 | 2154906.46 | 0.269444444 | 5.7 | 0.285 | 0.531339418 | 2.650110313 | 0.184925059 | 3.403701696 | 0.000897062 | 11127654.09 | 5.060546253 | 1546.03512 | 0.069344477 | 16.85719589 | 11169.52415 | 0.249646868 | 6.615564028 | 199.2434627 | 1352.206593 | 34.38779373 | 0.177405248 | 0.00892956 | 0.056037793 | 0.001727762 | 807.6707946 | 0.000197228 | 1.817931762 | 0.037869884 | 0.000703677 | -64.4057336 | 64.05655353 | 22361252967 | 3.130901983 | 65.36696814 | 4.366285876 | 261.2751027 | 40.83361133 | 0.061504487 | 0.467642701 | -331.494823 | 592.7699257 | 27.25555587 | 1001.484723 | -0.040529584 | 22361252967 | 0.139903553 | 2848.638585 | 210.4357911 | 14.50894241 | 411.8416729 | -0.759418932 | 8.884431069 | 9.179787163 | -0.017286158 | 2.239890056 | 2.681288538 | 3.844550334 | 0.02453386 | 6.038797736 | -0.058758813 | 0.383854962 | 0.372815512 | 0.986191687 | 0.447238485 | 0.922470003 | 0.347373704 | 0.051860297 | 3.549969817 | 4.516054558 | 2481.19395 | 0.131793334 | 5.069248016 | 215.4694134 | 1.940341782 | 414.9954729 | 0.009995528 | 0.005295117 | 3.897125436 | 14392.45098 | 0.749050881 | 0.84404575 | 0.389126701 | 0.881548418 | 190.2167167 | 0.004702959 | 262.7351598 | 0.092284917 | 12.38066012 | 222.57464 | 15481.18335 | 3261933.294 | 74.60796121 | 0.006310712 | 714.6220583 | 0.251008802 | 0.503983224 | 112.7273401 | 0.003214358 | 6.30558607 | 0.127696793 | 15419.858 | 6.213508486 | 2448.275891 | 0.109812778 | 8.220453984 | 3119.14972 | 4.636529361 | 214.9977573 | 33.77156313 | 7156.296614 | 0.165526204 | 0.005242238 | 0.129029574 | 28.39012433 | 0.000765937 | 6.730111956 | 0.000277408 | 496.3695624 | 0.02653551 | 0.076932129 | -3.305948722 | 3.325196778 | 22295627456 | 0.999952456 | 3.235875057 | 5.068112019 | 19.37267656 | 2.111251776 | 0.010073926 | 0.023588146 | -18.52465044 | 37.89732701 | 1.36310191 | 1000.014072 | 0.013543188 | 22295627456 | 0.500032954 | 7.995405262 | 2.256406796 | 1.503079399 | 0.494290488 | -0.003051835 | 0.494288283 | 0.505662801 | -0.011373783 | 0.505662801 | 0.961492956 | 0.237383102 | 0.262641356 | 1.961420761 | -0.038509968 | 0.179225991 | 0.747168599 | 0.89886744 | 0.747168599 | 0.831445733 | 0.505662801 | 0.290584266 | 1.45575796 | 0.249987771 | 6243.388771 | 0.500025755 | 0.249987122 | 2.507106603 | 5.760268396 | 14.51198523 | 3.572339189 | 0.623223349 | 2.759380909 | 5020.969653 | 0.386626113 | 0.560042783 | 1.539717439 | 0.615036956 | 1.538280061 | 0.384226179 | 1.666666667 | 0.555555556 | 0.222222222 | 3 | 82842473 | 209112643 | 51274930.5 | 0.5 | 1 | 0.333333333 | 0.333333339 | 1.333333347 | 0.083333337 | 1.584962501 | 0.000134559 | 27612803.56 | 4.613446419 | 2148.097645 | 0.096348852 | 9.222627693 | 11148.23472 | 0.249983523 | 2.512177618 | 163.9485535 | 413.8225163 | 101.4800628 | 0.621955595 | 0.008777987 | 0.022033195 | 0.005464185 | 5479.139203 | 0.000178171 | 0.503483735 | 0.125860316 | 0.000178174 | -778.6351371 | 222.5880633 | 21245484916 | 5.392868569 | 494.1356612 | 4.590013065 | 479.6831668 | 335.1494183 | -119.8168248 | 87.52946056 | -2122.169206 | 2601.852372 | 225.6185595 | 976.179281 | -1.468130017 | 21245484916 | 0.039429493 | 178203.5667 | 7079.464915 | 83.03637018 | 3467210.702 | -37432.48205 | 808.4430066 | 72.24494031 | 0.831838345 | 5.353087014 | 3.897812768 | 42.78442348 | 0.00548139 | 9.361993505 | -0.189941396 | 0.916741267 | 0.270267087 | 0.993754822 | 0.344693295 | 0.954523166 | 0.260395996 | 0.020420526 | 6.094274915 | 220.1719867 | 684.1645656 | 0.034315263 | 300.0850029 | 6630.98808 | 1.460003496 | 10409.67727 | 0.000394928 | 0.000335298 | 6.000532276 | 16457.92503 | 0.825850371 | 0.892411199 | 0.197455965 | 0.925968757 | 6030.376493 | 0.000325323 | 132.260324 | 0.016111624 | 341.4790034 | 5035.322938 | 1304.746376 | 11084876.63 | 0.154244749 | 0.000597629 | 4415.059447 | 0.537831581 | 0.761523954 | 3581.528932 | 0.00054015 | 7.502322281 | 0.368199148 | 1297.370146 | 7.964375447 | 3324.700022 | 0.149123123 | 9.20551866 | 879.0805562 | 285.0656901 | 6798.630769 | 23.62507289 | 195681.3817 | 0.00311646 | 0.000313107 | 0.339828092 | 1733.078182 | 0.000210089 | 0.127916517 | 0.000647122 | 15207.98771 | 0.181038559 | 5.103346589 |
2 | EGFR2 | C:\Users\19266\Desktop\VOI&feature_extraction\image2.nrrd | C:\Users\19266\Desktop\VOI&feature_extraction\label2.nrrd | v3.0.1 | 1.17.0 | 2.0.0 | 1.1.1 | 3.6.6 | {'minimumROIDimensions': 2, 'minimumROISize': None, 'normalize': False, 'normalizeScale': 1, 'removeOutliers': None, 'resampledPixelSpacing': [1, 1, 1], 'interpolator': 'sitkBSpline', 'preCrop': False, 'padDistance': 10, 'distances': [1], 'force2D': False, 'force2Ddimension': 0, 'resegmentRange': None, 'label': 1, 'additionalInfo': True, 'binWidth': 25, 'voxelArrayShift': 1000} | {'Original': {}, 'LoG': {'sigma': [1.0, 2.0, 3.0, 4.0, 5.0]}, 'Wavelet': {'wavelet': 'coif1'}} | 1f7a6ca167557d38c978cf9b2271973a25794219 | 3D | (0.873046875, 0.873046875, 5.0) | (512, 512, 67) | -611.1897262 | -1024 | 2034 | 999885cee1a75ab164b4b59f1c23a66d6398610e | (0.873046875, 0.873046875, 5.0) | (512, 512, 67) | (159, 310, 40, 24, 22, 4) | 774 | 1 | (169.4560723514212, 320.06976744186045, 41.724806201550386) | (-69.55690558381781, 214.93591024709303, 429.1240310077519) | (1.0, 1.0, 1.0) | (43, 41, 42) | -660.8883397 | -1011 | 1037 | (1.0, 1.0, 1.0) | (43, 41, 42) | (11, 11, 13, 21, 19, 20) | 2950 | 1 | (19.93220338983051, 19.325423728813558, 23.627118644067796) | (-69.5043200476695, 214.88890029131355, 429.1271186440678) | -132.2159322 | -798 | 160 | 0.896592901 | 0.684595359 | 13.83709659 | 20.21208064 | 22.82542442 | 23.32380758 | 23.85372088 | 27.14774392 | 2922.708333 | 18.12200802 | 0.652321948 | 1515.464564 | 0.518513786 | 2950 | -374.1 | 64 | 2305647781 | 4.663692138 | 244.75 | 3.0427094 | 160 | 138.2581153 | -132.2159322 | -100.5 | -798 | 958 | 101.0388442 | 884.0675987 | -0.714139088 | 2305647781 | 0.045097386 | 28526.33066 | 837.1647266 | 28.43186286 | 64905.29087 | -1323.790359 | 134.768025 | 20.06086388 | 0.736885493 | 3.322791977 | 3.244306565 | 8.743692777 | 0.004892737 | 8.252573015 | -0.171762047 | 0.874626882 | 0.279279971 | 0.987516317 | 0.365645967 | 0.925726157 | 0.277138809 | 0.016077518 | 5.409407121 | 38.70722221 | 117.3236817 | 0.044022672 | 46.13324801 | 766.9156526 | 1.360759365 | 1120.947182 | 0.002937303 | 0.002487904 | 5.142623157 | 2217.482018 | 0.831216118 | 0.903389831 | 0.133002099 | 0.928954443 | 698.7594351 | 0.002395491 | 40.09190372 | 0.043864227 | 43.06609201 | 553.559081 | 133.1400438 | 147692.6696 | 0.128772641 | 0.004390518 | 363.8118162 | 0.398043563 | 0.654294044 | 336.1049377 | 0.003537929 | 6.471559151 | 0.309830508 | 122.7228285 | 7.151191611 | 457.7376271 | 0.155165297 | 5.375960931 | 133.0372881 | 45.71363815 | 786.8081356 | 17.70915254 | 18184.11051 | 0.020964358 | 0.002369532 | 0.276551213 | 160.1877779 | 0.001234163 | 0.207643093 | 0.004201162 | 1307.275012 | 0.137990354 | 2.595839233 | -135.6001083 | 2.051284027 | 2609162386 | 3.129583227 | 67.11729431 | 3.433255671 | 133.4275818 | 42.68046989 | -61.11806838 | -53.60918999 | -256.4345093 | 389.8620911 | 29.01094443 | 940.4583063 | -0.522383622 | 2609162386 | 0.138519276 | 2962.544367 | 84.48137608 | 9.05482181 | 656.3248272 | -30.73252463 | 13.78270345 | 3.82496119 | 0.56193566 | 1.4053984 | 2.176404757 | 1.763150964 | 0.03046565 | 5.722948879 | -0.129526014 | 0.693041768 | 0.500943019 | 0.987499001 | 0.550147337 | 0.928260527 | 0.443863494 | 0.086965544 | 3.872188149 | 4.401916161 | 295.9078532 | 0.127992397 | 5.255908697 | 86.03627531 | 2.187383315 | 193.488907 | 0.034592085 | 0.018569915 | 4.120137104 | 1556.716859 | 0.667080298 | 0.783181226 | 0.502167363 | 0.841668128 | 72.03368681 | 0.016258962 | 23.28467153 | 0.084980553 | 11.70781608 | 92.44525547 | 3186.452555 | 293778.9781 | 36.61241753 | 0.032989749 | 69.23357664 | 0.252677287 | 0.512801612 | 51.78546378 | 0.016824844 | 5.99580074 | 0.092881356 | 3070.536683 | 6.72312501 | 235.7138983 | 0.079903016 | 15.84945705 | 408.6318644 | 4.780329331 | 86.83322034 | 59.90305085 | 5514.95322 | 0.75958292 | 0.017541536 | 0.095597276 | 8.720539432 | 0.002588992 | 1.5154834 | 0.003327408 | 116.6629602 | 0.033433703 | 0.348769407 | -236.2699463 | -59.43277817 | 2150688845 | 3.523919729 | 82.41329193 | 3.642040126 | 96.91877747 | 53.99705502 | -149.1136444 | -148.4008636 | -401.3739624 | 498.2927399 | 35.01793061 | 853.8425299 | -0.284129875 | 2150688845 | 0.107471186 | 5039.475732 | 130.3015669 | 11.1584575 | 2727.467104 | -62.53171604 | 26.72649694 | 3.612882138 | 0.760559185 | 1.39350985 | 2.154546223 | 1.605752333 | 0.022590004 | 6.189082124 | -0.21001439 | 0.859211517 | 0.496284976 | 0.992067631 | 0.546197081 | 0.940706353 | 0.45023054 | 0.056873475 | 4.356546151 | 7.58484477 | 233.5525072 | 0.100049967 | 8.88301538 | 144.0146442 | 2.097679316 | 288.5926134 | 0.022023148 | 0.011177839 | 4.463411102 | 1607.829417 | 0.686233629 | 0.790691004 | 0.479410565 | 0.853592372 | 125.0524759 | 0.009534374 | 21.47736626 | 0.088384223 | 12.71090112 | 194.9053498 | 2592.288066 | 340371.823 | 21.19620874 | 0.012813193 | 56.90123457 | 0.234161459 | 0.483273711 | 100.9498928 | 0.007037399 | 5.971273285 | 0.082372881 | 2444.910464 | 6.987216482 | 254.3261017 | 0.086212238 | 14.37274163 | 317.04 | 8.151759724 | 141.2294915 | 55.87254237 | 7196.449153 | 0.550593197 | 0.011025218 | 0.08951795 | 16.09547984 | 0.001074668 | 0.646147706 | 0.00524951 | 140.4092395 | 0.029596386 | 0.842270525 | -337.2477051 | -95.59842987 | 1797362403 | 3.956094987 | 139.0957222 | 2.633007418 | 37.47428131 | 78.00177354 | -225.281328 | -229.7233124 | -493.1061707 | 530.580452 | 56.65346503 | 780.5609463 | 0.101707161 | 1797362403 | 0.073251365 | 9086.370107 | 127.0825563 | 10.77645164 | 6556.986006 | 48.89236767 | 47.90408593 | 4.262845318 | 0.834138994 | 1.574118526 | 2.227111513 | 1.654776312 | 0.013689745 | 6.707155488 | -0.266065358 | 0.922472823 | 0.450822485 | 0.991435876 | 0.510768141 | 0.936090923 | 0.425738245 | 0.037434102 | 4.801137486 | 13.04173281 | 175.6162255 | 0.07249568 | 14.71401423 | 154.1734425 | 1.906310128 | 253.7235666 | 0.030459333 | 0.01478175 | 4.698036847 | 1793.660723 | 0.736943441 | 0.820860495 | 0.402204036 | 0.8805203 | 140.3605376 | 0.012396644 | 21 | 0.087136929 | 13.67934436 | 228.3443983 | 1699.775934 | 171165.3734 | 20.9534284 | 0.011705503 | 43.80497925 | 0.181763399 | 0.430626958 | 101.0146588 | 0.002533381 | 6.29668101 | 0.081694915 | 1549.942081 | 6.989691863 | 325.440678 | 0.110318874 | 12.91600115 | 216.0915254 | 14.66399414 | 146.5555932 | 44.92474576 | 4193.610508 | 0.853502766 | 0.015441498 | 0.096263369 | 19.34595032 | 0.000842041 | 0.585886818 | 0.007488722 | 134.8979801 | 0.045371567 | 1.145967063 | -439.7172974 | -121.0518784 | 1588089186 | 4.257558626 | 179.3081474 | 2.339664301 | 39.67344666 | 98.92514735 | -276.055874 | -274.0953674 | -532.8431396 | 572.5165863 | 73.24833896 | 733.7133755 | 0.068398854 | 1588089186 | 0.056933525 | 14240.21981 | 129.7233377 | 10.5584833 | 14788.82812 | 115.2562578 | 77.4554547 | 4.744351793 | 0.883184742 | 1.729373692 | 2.239598605 | 1.59327126 | 0.008851672 | 7.077869613 | -0.306516462 | 0.954483603 | 0.406613941 | 0.991943293 | 0.476226818 | 0.935184161 | 0.407222356 | 0.015812008 | 5.1244993 | 20.54995162 | 146.1269819 | 0.058115507 | 21.9712451 | 159.407042 | 1.707768294 | 247.5304073 | 0.040018133 | 0.018035339 | 4.865490636 | 1971.26789 | 0.779292811 | 0.852803129 | 0.30947677 | 0.901933891 | 147.141491 | 0.014794715 | 18.05022831 | 0.082421134 | 16.13565188 | 270.9680365 | 1342.675799 | 135628.7169 | 26.30000967 | 0.011260063 | 30.00456621 | 0.137007152 | 0.356291038 | 107.8497534 | 0.001766773 | 6.404280904 | 0.074237288 | 1161.226288 | 6.876352263 | 423.8657627 | 0.143683309 | 5.13824763 | 167.9538983 | 22.82444688 | 154.0938983 | 28.43932203 | 3055.185424 | 1.285154714 | 0.020197296 | 0.092062281 | 20.09801794 | 0.000901777 | 0.478952206 | 0.009305817 | 144.2639017 | 0.056229485 | 1.718866921 | -475.4227966 | -115.722097 | 1519344240 | 4.419560047 | 192.1745682 | 2.39290566 | 48.12854767 | 109.5224019 | -294.8444993 | -295.6852417 | -578.9716797 | 627.1002274 | 79.81092881 | 717.6572621 | 0.098350253 | 1519344240 | 0.051094053 | 17787.66572 | 162.481777 | 11.77097175 | 25060.89688 | 205.9595531 | 99.92776383 | 4.504319983 | 0.912930113 | 1.714516208 | 2.19193901 | 1.451129907 | 0.007768227 | 7.228396411 | -0.339365595 | 0.97007694 | 0.400441914 | 0.993445394 | 0.471422881 | 0.940008934 | 0.412083496 | 0.014288773 | 5.311388869 | 26.10802095 | 131.800891 | 0.05188729 | 27.67542638 | 195.3575084 | 1.611354912 | 291.767203 | 0.032470734 | 0.015442109 | 5.006242285 | 2004.671944 | 0.787199568 | 0.861277705 | 0.253133265 | 0.906506582 | 180.3566482 | 0.012737198 | 13.45853659 | 0.065651398 | 22.20449732 | 325.6439024 | 1087.385366 | 124963.7756 | 19.5926249 | 0.011058967 | 23.61463415 | 0.115193337 | 0.315478738 | 111.8800803 | 0.001715744 | 6.705314963 | 0.069491525 | 880.3062463 | 6.875304049 | 484.8325424 | 0.164350014 | 3.813513358 | 150.7274576 | 28.55262235 | 190.1613559 | 25.0359322 | 3518.898305 | 1.044370177 | 0.017270817 | 0.089184938 | 22.92537412 | 0.000779469 | 0.351946477 | 0.011284271 | 151.8420204 | 0.054885745 | 2.410225961 | -47.38499241 | 4.951990889 | 2828303562 | 1.826503497 | 28.95064886 | 2.849277834 | 51.72911917 | 16.57424704 | -21.0563525 | -20.38721292 | -90.83900996 | 142.5681291 | 11.91803088 | 979.1562542 | -0.051588047 | 2828303562 | 0.325560471 | 416.3052226 | 13.72017154 | 3.635006127 | 16.42201994 | -0.430121268 | 2.446731771 | 0.419717663 | 0.706015161 | 0.396416339 | 1.007686051 | 0.253830525 | 0.166704245 | 3.06690898 | -0.299961958 | 0.799358424 | 0.804113104 | 0.991664193 | 0.805561607 | 0.950767566 | 0.377039927 | 0.291353382 | 2.609947773 | 0.716612359 | 415.1654241 | 0.289019006 | 0.913459009 | 14.44975969 | 8.085880968 | 113.0798286 | 0.707246111 | 0.097904415 | 3.958329641 | 509.0724326 | 0.338260761 | 0.487692308 | 3.164277692 | 0.584037644 | 8.648519772 | 0.059795189 | 7.736842105 | 0.203601108 | 2.97299169 | 18.76315789 | 62879.78947 | 900298.1316 | 4867.515603 | 0.151962496 | 4.526315789 | 0.119113573 | 0.320219474 | 8.262545121 | 0.04238708 | 4.629249224 | 0.012881356 | 56853.12742 | 6.210847752 | 135.9362712 | 0.046080092 | 34.97692203 | 960.4033898 | 0.737889227 | 14.17322034 | 240.039322 | 3336.294576 | 20.46328743 | 0.092857295 | 0.015195635 | 0.273299962 | 0.001735268 | 8.202832659 | 0.003889931 | 6.594509708 | 0.010882529 | 0.074314685 | -158.1674897 | 96.41961624 | 2848252077 | 4.076102137 | 116.0847327 | 4.491832013 | 395.9904517 | 79.23372011 | -23.15405464 | -19.91943416 | -501.8436793 | 897.8341311 | 50.68052634 | 982.6032662 | -0.10736556 | 2848252077 | 0.075394197 | 11281.1778 | 424.1628353 | 20.55317188 | 6633.685238 | -37.64365255 | 35.51075594 | 28.59538222 | 0.099064929 | 3.872514224 | 3.351871922 | 12.01310319 | 0.008635229 | 7.579635225 | -0.098617012 | 0.654504941 | 0.262113054 | 0.980997081 | 0.347241246 | 0.911762432 | 0.259279893 | 0.02193276 | 4.494002508 | 16.02653454 | 194.3349499 | 0.072558317 | 18.96951483 | 441.4079082 | 1.398555222 | 615.5388705 | 0.004429294 | 0.003407694 | 4.561337099 | 2272.000105 | 0.842372545 | 0.9073794 | 0.157189119 | 0.932019618 | 411.4897559 | 0.003230889 | 46.7585825 | 0.051781376 | 31.73625996 | 450.1040975 | 154.7707641 | 67350.63898 | 0.365842068 | 0.004834978 | 317.1860465 | 0.35125808 | 0.612344183 | 277.7881634 | 0.003598676 | 6.457934771 | 0.306101695 | 144.0982059 | 6.670217364 | 475.6488136 | 0.161236886 | 4.181221948 | 222.4128814 | 18.09131962 | 441.1813559 | 15.79661017 | 6944.401017 | 0.040031698 | 0.003325766 | 0.265258629 | 119.0515169 | 0.001325907 | 0.453324912 | 0.002160215 | 1794.667419 | 0.083543338 | 1.097460975 | -5.327532648 | 6.671661343 | 2952753656 | 1.002408154 | 5.981592404 | 4.92738058 | 25.82422177 | 3.865548394 | 0.453258401 | 0.26672304 | -24.51025599 | 50.33447776 | 2.502950173 | 1000.466612 | 0.166592402 | 2952753656 | 0.500803447 | 26.72037 | 2.344908733 | 1.526368927 | 0.532056206 | -0.029749262 | 0.529663595 | 0.469274887 | 0.060362348 | 0.468760832 | 0.936888337 | 0.228735212 | 0.27292769 | 1.934787343 | -0.066665401 | 0.26847683 | 0.765670989 | 0.953096237 | 0.76570526 | 0.882835495 | 0.468311034 | 0.315698265 | 1.463546901 | 0.24973462 | 820.4700673 | 0.499409865 | 0.251287874 | 2.517840466 | 5.99235484 | 15.75061456 | 3.553533267 | 0.621283242 | 2.783097934 | 685.1595928 | 0.387954515 | 0.55684485 | 1.531340803 | 0.602368138 | 1.481999792 | 0.383203583 | 2.2 | 0.44 | 0.64 | 3.2 | 868848 | 2301064.6 | 510794.0722 | 0.672222222 | 1 | 0.2 | 0.272222408 | 1.87222266 | 0.094444568 | 2.321928095 | 0.001694915 | 520748 | 5.10792002 | 191.8989831 | 0.065050503 | 18.7037518 | 1477.370169 | 0.250082275 | 2.573898305 | 175.5050847 | 472.1874576 | 101.3348682 | 0.606902072 | 0.011448342 | 0.029290539 | 0.00736444 | 163.1735374 | 0.001464117 | 1.858108056 | 0.038679752 | 0.005009909 | -136.6825283 | 78.8665135 | 2859031770 | 3.895509956 | 91.83789074 | 6.52474126 | 539.1943317 | 69.46383566 | -20.58739762 | -15.09901245 | -517.6015558 | 1056.795887 | 40.7133196 | 984.4609246 | 0.022887283 | 2859031770 | 0.091653433 | 9914.266321 | 431.4301115 | 20.70375727 | 7595.969235 | -35.69451928 | 31.6514343 | 20.51869563 | 0.192397566 | 3.004928819 | 3.070463799 | 10.61874484 | 0.014506991 | 7.060249506 | -0.116304488 | 0.69228253 | 0.336545496 | 0.98979156 | 0.412081991 | 0.939034502 | 0.322112923 | 0.038190893 | 4.331983194 | 13.04253248 | 218.3630449 | 0.084705279 | 17.48710576 | 443.7898891 | 1.627211344 | 722.6152432 | 0.004804508 | 0.003302789 | 4.552897701 | 2058.897126 | 0.791518606 | 0.871968709 | 0.2618637 | 0.906829068 | 402.644528 | 0.003075361 | 35.17489422 | 0.049611981 | 38.34341859 | 442.4724965 | 606.6346968 | 268856.3568 | 1.38453642 | 0.00533891 | 264.4668547 | 0.373013899 | 0.633896763 | 279.9612563 | 0.00418316 | 6.481082993 | 0.240338983 | 589.3225246 | 6.781634348 | 356.5091525 | 0.12085056 | 8.342051135 | 270.3776271 | 15.89988222 | 443.6884746 | 27.08067797 | 11959.00441 | 0.064555151 | 0.003181106 | 0.219099894 | 97.10754049 | 0.001189852 | 0.301989229 | 0.002641434 | 1767.913757 | 0.045990467 | 1.940790854 | -5.19264142 | 5.822953196 | 2951427813 | 1.005425256 | 5.033534658 | 5.928902969 | 30.03346869 | 3.452983263 | 0.230530552 | 0.25487236 | -25.13963016 | 55.17309885 | 2.140260529 | 1000.241973 | -0.091794832 | 2951427813 | 0.501184028 | 22.89032211 | 6.463127094 | 2.535808402 | 0.569296592 | -0.04703093 | 0.564474881 | 0.433387824 | 0.131034693 | 0.432432845 | 0.945109886 | 0.231172922 | 0.272089169 | 1.941360196 | -0.060464453 | 0.248921102 | 0.783879076 | 0.974523451 | 0.783942741 | 0.913545264 | 0.431597237 | 0.325241567 | 1.504334661 | 0.249465676 | 774.686548 | 0.498770598 | 0.252699247 | 6.517163501 | 6.4344564 | 43.68454341 | 1.110658435 | 0.180643066 | 2.896784137 | 590.3478667 | 0.355830384 | 0.526414602 | 1.780223192 | 0.572934784 | 3.654115054 | 0.105954195 | 2.75 | 0.34375 | 0.734375 | 6.375 | 530157.5 | 3641641.125 | 90289.16753 | 0.285590278 | 1.75 | 0.21875 | 0.39679796 | 2.751254597 | 0.168426913 | 3 | 0.002711864 | 394180.9375 | 5.141032706 | 186.1830508 | 0.063112899 | 19.82121505 | 1478.492881 | 0.250425165 | 6.653898305 | 197.0630508 | 1366.401017 | 33.20634887 | 0.176556026 | 0.010266608 | 0.065912446 | 0.002151909 | 54.99231545 | 0.001593035 | 2.983876829 | 0.017828783 | 0.009531399 | -63.42291338 | 61.30704798 | 2951077927 | 3.077710888 | 61.5232307 | 3.809756158 | 202.5382967 | 39.20274601 | -1.14164669 | -0.909324271 | -189.0595095 | 391.5978062 | 25.65805824 | 1000.182683 | -0.008474944 | 2951077927 | 0.146703591 | 2647.389106 | 71.68334487 | 8.465228603 | 304.2414969 | -0.313739735 | 8.095925321 | 8.009678878 | 0.002204184 | 2.069042747 | 2.598478507 | 3.476640595 | 0.028415152 | 5.850911108 | -0.068459313 | 0.456019774 | 0.397368675 | 0.975132194 | 0.467545161 | 0.899657405 | 0.362262865 | 0.064609653 | 3.484921173 | 4.02640105 | 338.4115894 | 0.136559043 | 4.734958306 | 76.04815478 | 1.955275375 | 146.6718229 | 0.035569859 | 0.020102651 | 3.856793887 | 1874.715358 | 0.741618269 | 0.83934811 | 0.391286922 | 0.877623208 | 66.8809052 | 0.018096919 | 38.3117207 | 0.095540451 | 10.62313045 | 80.16458853 | 1862.628429 | 133270.8055 | 26.97829209 | 0.03155625 | 92.45137157 | 0.230552049 | 0.479425591 | 37.5261497 | 0.016095773 | 6.014421987 | 0.135932203 | 1808.508741 | 6.16691587 | 315.5518644 | 0.106966734 | 9.524621201 | 432.7755932 | 4.309506579 | 75.76644068 | 36.32542373 | 2686.247119 | 0.548512459 | 0.019409798 | 0.129251489 | 10.02939825 | 0.003620766 | 2.428388299 | 0.002251393 | 191.7197543 | 0.05048791 | 0.206944005 | -3.016762039 | 3.007356876 | 2950305830 | 0.999792766 | 3.051182527 | 4.604401671 | 11.13753221 | 1.960414521 | 0.048429442 | 0.042569573 | -12.03441894 | 23.17195115 | 1.272594501 | 1000.051834 | 0.125298138 | 2950305830 | 0.500143637 | 6.810114515 | 2.272251309 | 1.506480471 | 0.505386135 | -0.007665336 | 0.505320655 | 0.494380209 | 0.010962289 | 0.494380209 | 0.967040021 | 0.239315437 | 0.260834131 | 1.966626387 | -0.032949363 | 0.155048984 | 0.752809895 | 0.901123958 | 0.752809895 | 0.835206597 | 0.494380209 | 0.287728323 | 1.472246178 | 0.249925216 | 855.3797107 | 0.500168605 | 0.249915698 | 2.514479789 | 5.043278529 | 12.77800256 | 3.10959752 | 0.621380053 | 2.675461879 | 716.3564601 | 0.404637196 | 0.579713168 | 1.283569255 | 0.63189653 | 1.57787919 | 0.395400865 | 1.666666667 | 0.555555556 | 0.222222222 | 2 | 1446977.333 | 3696977.333 | 884477.3333 | 0.75 | 1 | 0.333333333 | 0.020833641 | 0.020834085 | 0.02083353 | 1.584962501 | 0.001016949 | 480032.8889 | 4.780633059 | 242.4020339 | 0.082170181 | 11.54117828 | 1475.423729 | 0.249928182 | 2.525423729 | 153.8054237 | 391.2427119 | 94.44610169 | 0.618644068 | 0.010483623 | 0.025690447 | 0.006681917 | 686.9164174 | 0.00138534 | 0.489386014 | 0.122313849 | 0.001385312 | -1052.533543 | 161.3268749 | 1759298729 | 6.122960398 | 699.6446627 | 2.931176263 | 436.7536361 | 385.148488 | -387.592467 | -322.8471406 | -2012.057732 | 2448.811368 | 282.5334534 | 772.2515461 | -0.672954122 | 1759298729 | 0.016339213 | 221329.4639 | 5081.085653 | 69.58527021 | 3960531.829 | -28554.3528 | 1070.522412 | 118.6540391 | 0.796514936 | 8.05593348 | 4.434176627 | 51.4400133 | 0.000978858 | 10.46427639 | -0.245787142 | 0.970695854 | 0.140867904 | 0.988485485 | 0.224930185 | 0.928723911 | 0.145817948 | 0.004140309 | 6.862161559 | 297.2941128 | 45.64114117 | 0.016168414 | 354.0873961 | 4646.322952 | 1.144080015 | 5531.380281 | 0.001036267 | 0.001000252 | 6.353198934 | 2598.347987 | 0.920045672 | 0.956870926 | 0.050997158 | 0.968193226 | 4452.835944 | 0.000991997 | 27.69610092 | 0.015880792 | 334.4792302 | 3974.636468 | 8.98853211 | 58509.96617 | 0.002936265 | 0.001438071 | 971.2752294 | 0.55692387 | 0.77453438 | 2884.645506 | 0.001345827 | 7.287439693 | 0.591186441 | 6.127313305 | 7.838876905 | 864.0949153 | 0.292913531 | 1.904594772 | 48.20067797 | 354.4050791 | 4710.091864 | 6.404745763 | 39703.78271 | 0.002150764 | 0.000967881 | 0.523246395 | 2045.492718 | 0.00081847 | 0.02492597 | 0.005672579 | 17233.23892 | 0.326606792 | 21.42443242 |
3 | EGFR3 | C:\Users\19266\Desktop\VOI&feature_extraction\image3.nrrd | C:\Users\19266\Desktop\VOI&feature_extraction\label3.nrrd | v3.0.1 | 1.17.0 | 2.0.0 | 1.1.1 | 3.6.6 | {'minimumROIDimensions': 2, 'minimumROISize': None, 'normalize': False, 'normalizeScale': 1, 'removeOutliers': None, 'resampledPixelSpacing': [1, 1, 1], 'interpolator': 'sitkBSpline', 'preCrop': False, 'padDistance': 10, 'distances': [1], 'force2D': False, 'force2Ddimension': 0, 'resegmentRange': None, 'label': 1, 'additionalInfo': True, 'binWidth': 25, 'voxelArrayShift': 1000} | {'Original': {}, 'LoG': {'sigma': [1.0, 2.0, 3.0, 4.0, 5.0]}, 'Wavelet': {'wavelet': 'coif1'}} | b8c657435fb5180dc421afceff74ac219563b2d9 | 3D | (0.362304688, 0.362304688, 5.0) | (1024, 1024, 70) | -682.7471395 | -1024 | 3071 | bff99759e5353c9bd20cea9cf48bf28c01e1203e | (0.3623046875, 0.3623046875, 5.0) | (1024, 1024, 70) | (219, 637, 29, 40, 49, 3) | 2358 | 1 | (238.90118744698898, 660.9588634435962, 29.802374893977948) | (-95.94497993863973, 181.9684944702873, 124.31192329801473) | (1.0, 1.0, 1.0) | (36, 40, 37) | -784.5133634 | -1122 | 544 | (1.0, 1.0, 1.0) | (36, 40, 37) | (10, 11, 13, 15, 18, 15) | 1530 | 1 | (17.0718954248366, 19.15032679738562, 19.00326797385621) | (-96.1092569189134, 181.96917445363562, 124.30331680198121) | -426.5620915 | -827 | 27 | 0.970958923 | 0.683542509 | 10.7115293 | 15.67061179 | 18.60107524 | 19.23538406 | 17.4642492 | 20.51828453 | 1511.541667 | 15.21552035 | 0.669279201 | 951.6783979 | 0.629607783 | 1530 | -636 | -214 | 542205792 | 4.687811941 | 237 | 2.397608059 | 27 | 132.6464095 | -426.5620915 | -428.5 | -827 | 854 | 98.34335174 | 595.3006556 | 0.08912384 | 542205792 | 0.043002264 | 25551.83569 | 365.8284916 | 18.49484002 | 38701.93048 | 59.74012911 | 125.6030212 | 30.85902336 | 0.604789864 | 4.372622133 | 3.515365512 | 11.1008758 | 0.003038561 | 8.675322148 | -0.139605119 | 0.837490482 | 0.204856172 | 0.977749974 | 0.298679015 | 0.897719411 | 0.212948727 | 0.008504847 | 5.47517536 | 39.11551115 | 61.68181693 | 0.042901118 | 40.94031878 | 343.0322818 | 1.210802588 | 423.7210154 | 0.008120683 | 0.007165715 | 5.005678826 | 1280.506078 | 0.889932813 | 0.939718451 | 0.076359031 | 0.955435106 | 325.794481 | 0.006964108 | 27.57534247 | 0.041971602 | 43.81964513 | 309.7031963 | 12.17960426 | 4759.187215 | 0.055748608 | 0.010069374 | 239.870624 | 0.365099884 | 0.625262339 | 183.1847315 | 0.007962991 | 6.544512205 | 0.429411765 | 6.756447947 | 6.809279782 | 346.5058824 | 0.226474433 | 1.831088897 | 65.79346405 | 40.81943697 | 345.5843137 | 8.422222222 | 3283.769935 | 0.039122945 | 0.007005312 | 0.354855265 | 108.894132 | 0.003861258 | 0.306325052 | 0.005716925 | 1491.811627 | 0.188211405 | 2.427167333 | -124.6829109 | 12.93458986 | 1379472980 | 3.194572504 | 73.50091195 | 3.410729938 | 131.3744354 | 44.03890626 | -52.09888172 | -48.57989311 | -261.2878723 | 392.6623077 | 30.47462802 | 949.5347949 | -0.100019517 | 1379472980 | 0.13030971 | 3099.796656 | 89.55387448 | 9.345032556 | 707.0826209 | -2.597530563 | 14.57143461 | 5.682977503 | 0.439083029 | 1.788981767 | 2.401579945 | 2.313593716 | 0.021273049 | 6.073587042 | -0.100256098 | 0.614411681 | 0.424855542 | 0.981607369 | 0.489491556 | 0.910686935 | 0.400227146 | 0.045670252 | 3.95200622 | 5.063603029 | 162.3126389 | 0.126679809 | 5.309573838 | 93.75839748 | 1.754794483 | 164.2438953 | 0.026971383 | 0.016465317 | 3.957724562 | 942.4125515 | 0.726498679 | 0.83800905 | 0.276834107 | 0.873738058 | 82.05120721 | 0.014727255 | 13.88198758 | 0.086223525 | 11.14416882 | 101.689441 | 888.931677 | 86066.38509 | 9.878000083 | 0.024358125 | 25.7826087 | 0.160140427 | 0.379041748 | 39.85030062 | 0.007997703 | 6.162252419 | 0.105228758 | 798.6226612 | 6.297483047 | 176.9464052 | 0.115651245 | 6.577377932 | 199.3738562 | 5.05005767 | 93.63137255 | 33.73986928 | 3162.671895 | 0.436994493 | 0.016031208 | 0.098814569 | 9.76440915 | 0.002074964 | 0.930147049 | 0.005528411 | 137.3854364 | 0.042306777 | 0.569914038 | -212.2519257 | -33.8818428 | 1189101991 | 3.406691043 | 99.88375282 | 2.249357118 | 50.51824951 | 54.79824393 | -120.8712124 | -118.9083862 | -275.5778503 | 326.0960999 | 40.91348501 | 881.5842806 | -0.024030342 | 1189101991 | 0.10265368 | 4323.418623 | 55.94167413 | 7.135643306 | 1221.381092 | 12.2597714 | 22.87121981 | 2.85355793 | 0.776368824 | 1.315481171 | 1.969238888 | 1.061127825 | 0.019820639 | 5.920143185 | -0.231467296 | 0.872045176 | 0.489364895 | 0.987754911 | 0.540602396 | 0.923115221 | 0.470608418 | 0.032798753 | 4.249862701 | 6.431194435 | 130.6368585 | 0.104793026 | 6.723730081 | 68.58256242 | 1.860855339 | 113.2352361 | 0.060171142 | 0.026600244 | 4.171766213 | 887.258548 | 0.708585317 | 0.815183509 | 0.340630235 | 0.8663188 | 61.29050539 | 0.021656461 | 12.93258427 | 0.145309936 | 6.939780331 | 109.4269663 | 1944.247191 | 98948.44944 | 54.87699023 | 0.028322696 | 16.46067416 | 0.184951395 | 0.435558246 | 48.5220842 | 0.017932819 | 5.274028831 | 0.058169935 | 1648.716324 | 6.394575347 | 179.7633987 | 0.117492417 | 8.619580503 | 157.0601307 | 6.960768935 | 65.67843137 | 42.32026144 | 1913.942484 | 1.993796957 | 0.028744789 | 0.075752999 | 6.926507111 | 0.001974805 | 0.89753272 | 0.010431495 | 59.4065366 | 0.044326835 | 0.754847826 | -312.0660034 | -63.0839695 | 1049815989 | 3.833086516 | 136.6034279 | 2.29695077 | 14.50814056 | 76.1452746 | -176.7213362 | -165.4547272 | -398.6860657 | 413.1942062 | 56.60270346 | 828.344277 | -0.345203821 | 1049815989 | 0.076443248 | 8366.482907 | 85.87552035 | 8.665330933 | 4942.779042 | -67.96297923 | 46.77717355 | 3.800010147 | 0.848847345 | 1.563725863 | 2.087823161 | 1.260461892 | 0.012174447 | 6.556921034 | -0.279817347 | 0.929627409 | 0.428612895 | 0.987272953 | 0.494268522 | 0.919271384 | 0.427225176 | 0.023947641 | 4.73938022 | 12.64429592 | 101.0195797 | 0.077640171 | 12.92266066 | 104.5825737 | 1.651254287 | 163.4200707 | 0.07870778 | 0.033337336 | 4.463348934 | 992.6667316 | 0.76107433 | 0.85042735 | 0.258081861 | 0.893932895 | 95.1733086 | 0.025329569 | 9.208333333 | 0.095920139 | 13.41134983 | 151.71875 | 1120.708333 | 93841.89583 | 30.32181323 | 0.023732293 | 14.02083333 | 0.146050347 | 0.377626016 | 59.72775676 | 0.003725275 | 5.739801793 | 0.062745098 | 866.7044271 | 6.426990727 | 235.6405229 | 0.154013414 | 3.892229484 | 116.9581699 | 13.34968431 | 102.275817 | 27.79346405 | 2275.347712 | 3.244507089 | 0.039306314 | 0.083936375 | 10.88601297 | 0.001352608 | 0.531069842 | 0.013430878 | 70.11766328 | 0.064431688 | 1.270727204 | -336.9309845 | -86.53737106 | 982564198.8 | 3.873390503 | 139.0062332 | 2.313961012 | -12.85097885 | 77.49548762 | -204.0856916 | -193.3019333 | -433.5563965 | 420.7054176 | 57.42025675 | 801.3730859 | -0.33612204 | 982564198.8 | 0.074200521 | 8719.236429 | 103.2416492 | 9.571502678 | 5658.000844 | -70.88630871 | 49.88052362 | 3.543563471 | 0.866566538 | 1.53068819 | 2.023140906 | 1.114423529 | 0.011962748 | 6.555469633 | -0.299817261 | 0.942213752 | 0.428043678 | 0.989338208 | 0.493137605 | 0.924475493 | 0.441249808 | 0.021630992 | 4.788265486 | 13.35602177 | 98.53678176 | 0.075234308 | 13.68082164 | 122.7491748 | 1.614772687 | 191.0094169 | 0.040020068 | 0.021569519 | 4.488177593 | 1012.209389 | 0.770466429 | 0.856309703 | 0.240105545 | 0.898508607 | 111.6575382 | 0.018288524 | 8.915789474 | 0.093850416 | 14.18127424 | 174.5368421 | 1144.778947 | 113505.8842 | 20.08104722 | 0.022526511 | 14.57894737 | 0.153462604 | 0.385452201 | 65.33630298 | 0.004153711 | 5.791790903 | 0.062091503 | 885.399446 | 6.392902276 | 258.0143791 | 0.168636849 | 3.1289692 | 113.5267974 | 14.05947328 | 120.8777778 | 25.55816993 | 2650.766667 | 0.997689801 | 0.022961729 | 0.085784077 | 12.49791829 | 0.001203071 | 0.414575054 | 0.014704111 | 76.7215688 | 0.056653722 | 1.590464315 | -313.4951813 | -97.10227661 | 987152414.2 | 3.669847826 | 118.5230904 | 2.265962431 | -21.96603012 | 65.91129242 | -200.69489 | -195.5644989 | -387.211792 | 365.2457619 | 48.91761494 | 803.2419663 | -0.200526838 | 987152414.2 | 0.085255244 | 6308.997424 | 69.7793652 | 7.835470664 | 2925.458671 | -16.14809059 | 35.86433637 | 2.448084004 | 0.871259917 | 1.265880256 | 1.802551261 | 0.791348512 | 0.016415174 | 6.100905525 | -0.320902067 | 0.944477269 | 0.484381312 | 0.990642984 | 0.536118964 | 0.929280444 | 0.489335809 | 0.02695192 | 4.570499726 | 9.578105095 | 110.195391 | 0.086996224 | 9.8848563 | 84.38635324 | 1.783441233 | 140.7595469 | 0.07058523 | 0.032458379 | 4.378258792 | 932.1593523 | 0.733235425 | 0.827953746 | 0.309861454 | 0.87897882 | 75.84460148 | 0.02547525 | 7.615384615 | 0.117159763 | 10.38485207 | 137.5538462 | 2247.138462 | 150497.4923 | 57.71087445 | 0.029923531 | 7.092307692 | 0.109112426 | 0.292695087 | 44.75244382 | 0.002410474 | 5.568371275 | 0.04248366 | 1693.07929 | 6.207463699 | 224.4104575 | 0.146673502 | 3.663660985 | 130.4405229 | 10.21284506 | 82.06339869 | 33.61960784 | 2195.876471 | 2.237666995 | 0.035946986 | 0.061291652 | 6.7789544 | 0.001027379 | 0.549399324 | 0.015406905 | 49.9397584 | 0.044267399 | 1.265160631 | -35.99081318 | 6.156493629 | 1483167207 | 1.589718621 | 21.78117299 | 3.103212511 | 30.26344524 | 13.06275301 | -15.56285569 | -15.90837485 | -75.19307667 | 105.4565219 | 9.024218323 | 984.5762192 | -0.166204572 | 1483167207 | 0.392901875 | 273.8403538 | 14.97697079 | 3.829742165 | 8.832205507 | -0.501903679 | 1.674861493 | 0.436323592 | 0.58611132 | 0.408751629 | 1.039847394 | 0.264622937 | 0.203145814 | 2.832238148 | -0.205416577 | 0.677326017 | 0.798381382 | 0.98832052 | 0.800202717 | 0.942098467 | 0.384784784 | 0.381894172 | 2.352961869 | 0.527796271 | 272.6950455 | 0.343830778 | 0.652373641 | 15.74377948 | 6.146424562 | 96.19591141 | 0.443917182 | 0.078398577 | 3.582834579 | 288.0632635 | 0.353050243 | 0.517697335 | 2.089916089 | 0.593014801 | 9.484904466 | 0.04742538 | 6.217391304 | 0.270321361 | 2.170132325 | 19.95652174 | 37377.73913 | 575785.4783 | 2557.043345 | 0.120350242 | 3.260869565 | 0.141776938 | 0.352840204 | 8.916713583 | 0.056634452 | 3.936180434 | 0.01503268 | 32952.59735 | 5.803507351 | 79.86013072 | 0.052196164 | 28.64971763 | 601.1398693 | 0.534479901 | 15.62745098 | 211.9777778 | 3299.060131 | 15.15560294 | 0.075864379 | 0.016137712 | 0.316617419 | 0.001682255 | 5.597208263 | 0.006276418 | 4.968409644 | 0.011279349 | 0.089180424 | -212.4696755 | 170.1986238 | 1508679896 | 4.537119037 | 183.4589288 | 2.922421258 | 425.175103 | 112.390943 | -17.39042821 | -20.12976962 | -397.7837496 | 822.9588527 | 76.52669692 | 993.0082031 | 0.072383057 | 1508679896 | 0.051094024 | 20543.72082 | 249.1096016 | 15.76409564 | 17577.03425 | 16.15703107 | 67.35921005 | 64.97413512 | 0.0196311 | 5.948828636 | 3.896658487 | 25.61784769 | 0.004002264 | 8.504464261 | -0.126563614 | 0.789742751 | 0.189183603 | 0.953137539 | 0.275106673 | 0.864986318 | 0.192714862 | 0.012481612 | 4.954149774 | 33.08333629 | 71.97469006 | 0.050030927 | 33.63030896 | 283.6293091 | 1.228607017 | 345.2801737 | 0.013836134 | 0.012126523 | 4.857744862 | 1291.102352 | 0.893649621 | 0.940221217 | 0.085139528 | 0.95576537 | 271.8413245 | 0.011762567 | 28.95428571 | 0.041363265 | 43.40506939 | 292.7742857 | 16.48 | 4124.678571 | 0.10186184 | 0.015771517 | 283.2114286 | 0.404587755 | 0.65849056 | 192.9356124 | 0.011059031 | 6.359792583 | 0.45751634 | 11.70265306 | 6.689664085 | 351.1150327 | 0.229486949 | 2.371240121 | 78.17385621 | 32.83043658 | 282.6150327 | 8.895424837 | 2301.442484 | 0.063493672 | 0.011856719 | 0.383003378 | 111.5910616 | 0.00594245 | 0.453728638 | 0.004073392 | 2013.110693 | 0.267355867 | 1.283710483 | -10.63931288 | 10.52518688 | 1530777336 | 1.090337937 | 9.016094539 | 4.457316876 | 40.05866265 | 6.434598581 | 0.215580163 | 0.335764402 | -34.89042855 | 74.9490912 | 3.993020293 | 1000.253999 | 0.038172717 | 1530777336 | 0.48905122 | 76.85620033 | 6.362095073 | 2.522686393 | 0.692435598 | -0.009498456 | 0.546189151 | 0.553699497 | -0.006183748 | 0.521281198 | 1.032455033 | 0.257029664 | 0.259904782 | 2.107052402 | -0.078693908 | 0.350878211 | 0.742601231 | 0.968017623 | 0.744699119 | 0.896817132 | 0.493513323 | 0.309965942 | 1.513294039 | 0.274972162 | 445.6152391 | 0.48132738 | 0.28833402 | 6.625272189 | 4.891245687 | 32.59786097 | 0.868526338 | 0.183378382 | 2.71820693 | 432.0325392 | 0.437416267 | 0.604122675 | 1.228610104 | 0.652481278 | 4.309649563 | 0.121879587 | 3.833333333 | 0.319444444 | 1.743055556 | 8.416666667 | 95148.33333 | 636731.5 | 16673.10301 | 0.410300926 | 3.166666667 | 0.263888889 | 0.368634553 | 2.523150001 | 0.222258446 | 3.084962501 | 0.007843137 | 78892.08333 | 5.059838365 | 105.3490196 | 0.068855568 | 16.93386988 | 748.248366 | 0.272944594 | 6.644444444 | 144.4614379 | 974.7568627 | 25.10685367 | 0.18030138 | 0.016703399 | 0.112005602 | 0.004483205 | 33.30102206 | 0.002719899 | 3.433239369 | 0.022969585 | 0.015776821 | -190.2472106 | 143.0364219 | 1491668555 | 4.389863486 | 180.3514252 | 3.003990401 | 401.8182446 | 103.2834008 | -21.03545064 | -20.19629447 | -531.9906384 | 933.808883 | 73.55661886 | 987.3939274 | -0.003616269 | 1491668555 | 0.054738776 | 16575.17899 | 466.4073066 | 21.57383038 | 10897.76617 | 23.6625778 | 55.50168661 | 51.59553079 | 0.04152753 | 5.394852821 | 3.727466019 | 19.08420345 | 0.00446879 | 8.255585092 | -0.118729986 | 0.747230733 | 0.198532659 | 0.969669921 | 0.28577068 | 0.887555144 | 0.199125489 | 0.011756395 | 4.845098261 | 26.77430435 | 77.39553756 | 0.054082352 | 27.29813439 | 496.6557346 | 1.265795756 | 627.8854207 | 0.0042832 | 0.003640226 | 4.724340841 | 1277.524958 | 0.887425231 | 0.935394671 | 0.104302939 | 0.952524195 | 473.5179592 | 0.003521846 | 31.07727975 | 0.04803289 | 34.7439066 | 505.0370943 | 14.34930448 | 6973.452859 | 0.036045166 | 0.005016465 | 232.625966 | 0.359545542 | 0.618826522 | 314.0832412 | 0.004003432 | 6.384271138 | 0.422875817 | 8.757212578 | 6.640143844 | 331.3320261 | 0.21655688 | 2.297432611 | 83.7503268 | 26.7751634 | 496.2196078 | 9.478431373 | 4626.645752 | 0.023963524 | 0.003558484 | 0.346098816 | 174.5856859 | 0.001908034 | 0.353823612 | 0.003821291 | 1886.257719 | 0.208749958 | 1.373370844 | -6.20795418 | 7.575463566 | 1531537072 | 1.035902971 | 7.108574966 | 6.037268102 | 27.94946416 | 4.524357537 | 0.483704485 | 0.217048031 | -38.39247965 | 66.34194381 | 2.945674227 | 1000.502185 | -0.129886621 | 1531537072 | 0.496628647 | 36.97957962 | 6.383303388 | 2.521529374 | 0.627026603 | -0.043850981 | 0.568127283 | 0.467395496 | 0.097523861 | 0.455633727 | 0.989706772 | 0.243820885 | 0.264530833 | 2.018196452 | -0.060514391 | 0.246917095 | 0.773359313 | 0.972713708 | 0.774143431 | 0.909265314 | 0.445342179 | 0.304238562 | 1.526431049 | 0.258880695 | 423.2582112 | 0.493311389 | 0.263551849 | 6.475592746 | 5.681726388 | 37.78794742 | 1.007073195 | 0.184462282 | 2.80392893 | 352.8342031 | 0.388720134 | 0.560482655 | 1.482903815 | 0.613214392 | 3.899797518 | 0.116048141 | 1.857142857 | 0.265306122 | 1.06122449 | 8.428571429 | 165644.5714 | 1103858.429 | 29154.92659 | 0.263888889 | 2.714285714 | 0.387755102 | 0.580357638 | 6.437503136 | 0.078373107 | 2.521640636 | 0.004575163 | 117871.102 | 5.205826912 | 91.59607843 | 0.059866718 | 21.26565167 | 759.8418301 | 0.257636379 | 6.579738562 | 175.7071895 | 1196.651634 | 30.2314724 | 0.180274147 | 0.014477999 | 0.102843228 | 0.002713337 | 29.97122648 | 0.002989865 | 3.083723414 | 0.019119775 | 0.017706302 | -109.323452 | 102.6819422 | 1534278319 | 3.805318716 | 118.00498 | 3.275307875 | 308.0301283 | 68.28132367 | -2.259399128 | -1.668827945 | -304.2854461 | 612.3155744 | 48.24014911 | 1001.397167 | 0.024153269 | 1534278319 | 0.083115041 | 7309.980053 | 180.9866994 | 13.46707236 | 2059.526463 | 5.846815048 | 23.25247953 | 24.7669617 | -0.033132317 | 3.816359217 | 3.308015068 | 9.201117443 | 0.008972418 | 7.283306148 | -0.089887687 | 0.626759788 | 0.246196157 | 0.967356698 | 0.335806988 | 0.881112375 | 0.23951581 | 0.020886413 | 4.230148911 | 12.00486031 | 114.3181837 | 0.081558257 | 12.23578868 | 191.7325893 | 1.399978099 | 267.4772957 | 0.010820753 | 0.008261496 | 4.234580095 | 1212.515685 | 0.856753157 | 0.915887381 | 0.164402872 | 0.937970634 | 179.8076825 | 0.007868831 | 31.03805497 | 0.065619567 | 18.69564518 | 194.0761099 | 60.07610994 | 11300.47992 | 0.353709187 | 0.011520183 | 150.1966173 | 0.317540417 | 0.581455196 | 110.9842738 | 0.00848851 | 6.146002733 | 0.309150327 | 49.61300502 | 6.2945112 | 274.6496732 | 0.17950959 | 3.23303174 | 127.1660131 | 11.81964245 | 191.6424837 | 13.38954248 | 2553.697386 | 0.083705484 | 0.008085613 | 0.265828025 | 50.72500618 | 0.003226152 | 0.632032891 | 0.003795401 | 799.5324368 | 0.102602586 | 0.82012482 | -5.476645679 | 5.656396348 | 1530265937 | 1.006907275 | 5.450731031 | 4.913334558 | 26.08688655 | 3.572233984 | 0.075280681 | 0.12039559 | -19.86450187 | 45.95138842 | 2.269639823 | 1000.086904 | 0.170108421 | 1530265937 | 0.499552309 | 23.24786818 | 2.280325405 | 1.510565359 | 0.50366838 | -0.008100821 | 0.499197412 | 0.505274207 | -0.006129583 | 0.503505396 | 0.96227179 | 0.236344322 | 0.264980736 | 1.965224012 | -0.047635724 | 0.2346115 | 0.748424183 | 0.949554217 | 0.748542104 | 0.874212092 | 0.501957686 | 0.304284474 | 1.454733806 | 0.251117905 | 461.8775078 | 0.499005331 | 0.252216968 | 2.518809827 | 4.675070775 | 11.99891361 | 2.845394657 | 0.621582135 | 2.595891404 | 411.3304864 | 0.426661585 | 0.604876823 | 1.141023359 | 0.652822967 | 1.639140799 | 0.407528101 | 1 | 0.333333333 | 0.666666667 | 4.666666667 | 389800.6667 | 998203.3333 | 237700.3704 | 0.453703704 | 1 | 0.333333333 | 0.333334475 | 3.000002786 | 0.037037768 | 1.584962501 | 0.001960784 | 129700.6667 | 4.752800016 | 126.4065359 | 0.082618651 | 11.76588321 | 764.3150327 | 0.251183733 | 2.534640523 | 138.8509804 | 358.1150327 | 84.03569354 | 0.617066086 | 0.01260679 | 0.035326848 | 0.007652992 | 93.6076519 | 0.002624409 | 1.992554945 | 0.041825527 | 0.00908177 | -1759.719663 | -664.1235703 | 333823473.9 | 6.028914041 | 594.1466739 | 2.375936117 | -186.2844978 | 339.1564425 | -1221.392157 | -1233.284308 | -2146.20858 | 1959.924082 | 248.9194262 | 467.103069 | 0.136835261 | 333823473.9 | 0.016918279 | 169170.79 | 1859.598725 | 40.77158385 | 1931575.979 | 1455.436906 | 901.2717116 | 115.0968156 | 0.772313692 | 8.607076959 | 4.414334843 | 38.64542631 | 0.000917813 | 10.31450821 | -0.277846372 | 0.981511985 | 0.107063466 | 0.982455545 | 0.192114976 | 0.906331711 | 0.111458906 | 0.003470485 | 6.832640436 | 254.0921318 | 25.07942149 | 0.016886952 | 271.3676927 | 1679.574237 | 1.093563113 | 1860.493251 | 0.004645294 | 0.004512108 | 6.181919979 | 1401.492672 | 0.943520788 | 0.970688788 | 0.031992187 | 0.978008274 | 1636.839672 | 0.004483468 | 17.07093596 | 0.016818656 | 276.1584741 | 1560.409852 | 3.308374384 | 6087.885714 | 0.008865806 | 0.005942003 | 548.5034483 | 0.540397486 | 0.763768021 | 1111.780602 | 0.005566047 | 7.132276186 | 0.663398693 | 1.036152297 | 7.453992362 | 556.3202614 | 0.363608014 | 0.786536802 | 25.88496732 | 270.8294331 | 1687.146405 | 3.891503268 | 7282.515033 | 0.008169322 | 0.004419828 | 0.576480563 | 871.5214377 | 0.003798878 | 0.047108916 | 0.009363195 | 10310.4045 | 0.397328403 | 18.19560195 |