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conditiona GAN for medical image semantic segmentation

Requirements

python modules

numpy==1.13.3
Keras==2.0.8
parmap==1.5.1
matplotlib==2.0.2
tqdm==4.17.0
opencv_python==3.3.0.10
h5py==2.7.0
theano==0.9.0 or tensorflow==1.3.0

Part 1. Processing the data

Part 2. Running the code python brain.py

Part 3. Example results

We train and test using a seperate file for every axis. The main implementation can be found in shared.py. This file exports functions that can be used from each axis module. These functions take a class as a parameter that contains every customizable function.