train_mrcc - file to train a Mask R-CNN algorithm to segment the CA and IJV from neck US images. The data used to train can be found under the PARTITION FOR CROSS-VALIDATION, this provides the start and end locations for a four-fold cross validation.
train_unet - file to train a U-Net algorithm to segment the CA and IJV from neck US images. The data used to train can be found under the PARTITION FOR CROSS-VALIDATION, this provides the start and end locations for a four-fold cross validation.
test_mrcnn and test_unet - files to run to obtain test results.
Unet - file that executes the U-net segmentation algorithm.
mrcnnconfig - Mask R-CNN Base Configurations class.
mrcnnmodel - The main Mask R-CNN model implementation.
mrcnnmodeldist - delete?
mrcnnparrallel_model - Mask R-CNN Multi-GPU Support for Keras.
mrcnnsubclass - ?
mrcnnutils - Mask R-CNN Common utility functions and classes.
mrcnnvisualize - Mask R-CNN Display and Visualization Functions.
Please go to https://1drv.ms/u/s!Akxm4gUER2IFag1CJ1LtM_qB6HY?e=0aqATl to download the numpy image arrays.