34 lines (32 with data), 1.2 kB

data/TrainingSet
data/TestVolumes/Full Scans
Section 1 EDA/.ipynb_checkpoints
Section 1 EDA/desktop
Section 1 EDA/img
Section 1 EDA/out/images
Section 1 EDA/out/labels
Section 1 EDA/@PaxHeader
Section 1 EDA/launch_jupyter.sh
Section 2 Train_Eval_Model/.ipynb_checkpoints
Section 2 Train_Eval_Model/desktop
Section 2 Train_Eval_Model/launch_jupyter.sh
Section 2 Train_Eval_Model/Untitled.ipynb
Section 2 Train_Eval_Model/images
Section 2 Train_Eval_Model/labels
Section 2 Train_Eval_Model/images.tar.gz
Section 2 Train_Eval_Model/labels.tar.gz
Section 2 Train_Eval_Model/out/2020-09-08_2231_Basic_unet/model.pth
Section 2 Train_Eval_Model/out/2020-09-11_1827_Basic_unet
Section 2 Train_Eval_Model/src/data_prep/HippocampusDatasetLoader.ipynb
Section 2 Train_Eval_Model/src/data_prep/SlicesDataset.ipynb
Section 2 Train_Eval_Model/src/run_ml_pipeline.ipynb
Section 3 Simulate DIMSE/src/out
Section 3 Simulate DIMSE/src/inference/model.pth
Section 3 Simulate DIMSE/out/README.md
Section 3 Simulate DIMSE/out/inference_dcm.py
Section 3 Simulate DIMSE/out/report.dcm
Section 3 Simulate DIMSE/@PaxHeader
Section 3 Simulate DIMSE/src/test.py
Section1_EDA
Section2_Train_Eval_Model
Section3_Simulate DIMSE