markov1	markov2	markov3	markov4	markov5	MinIntensity	MaxIntensity	MeanIntensity	SDIntensity	MinIntensityBG	MaxIntensityBG	MeanIntensityBG	SDIntensityBG	IntesityDifference	gabormean_0_0	gaborSD_0_0	gabormean_0_1	gaborSD_0_1	gabormean_0_2	gaborSD_0_2	gabormean_1_0	gaborSD_1_0	gabormean_1_1	gaborSD_1_1	gabormean_1_2	gaborSD_1_2	gabormean_2_0	gaborSD_2_0	gabormean_2_1	gaborSD_2_1	gabormean_2_2	gaborSD_2_2	gabormean_3_0	gaborSD_3_0	gabormean_3_1	gaborSD_3_1	gabormean_3_2	gaborSD_3_2	Contrast	Correlation	Energy	Homogeneity	Entropy	@3rdordermoment	Inversevariance	Sumaverage	Variance	Clustertendency	MaxProbability	Area	ConvexArea	Circularity	Perimeter	ConvexPerimeter	Roughness	EquivDiameter	MajorAxisLength	MinorAxisLength	Elongation	Compactness	Eccentricity	Solidity	Extent	RadialDistanceSD	SecondMoment

Notes:
The gabor features match up with what is being generated by Patricks work. Just set them in the same order, starting at column 15

Columns:
65 	total
1-5 	Markov		C#
6-14 	intensities	Where? (mine is insufficient)
15-38 	gabor		Done
39-49	haralick	Done
50-65 	shape?		In Progress



Fix Neural network prediction module

segmented concatenated per line - each line is one largest slice
   
#numfeatures will change make it flexible everywhere