This document is a user manual for parallel processing software for multi-modal brain tumor image segmentation.  It provides a gentle introduction into how to use this software. If you lack the background for understanding this manual, you should first read introductory literature on the subjects.

For Linux

Requirements

Parallel processing software for multi-modal brain tumor image segmentation requires the following

Configuration Environment：

         CUDA==10.2

         cuDNN==7.6.5

         python==3.7

         cudatoolkit==9.0

         tensorflow-gpu==2.1.0

         nibabel==2.3.1

         numpy==1.17.4

         SimpleITK==1.2.0

         tqdm==4.28.1

         scikit-learn==0.23.0

         h5py==2.10.0

Datasets:

          MICCAI_BraTS2020_TrainingData

          MICCAI_BraTS2020_ValidationData

          MICCAI_BraTS_2018_Data_Training

          MICCAI_BraTS_2019_Data_Training

Implement

          python u1.py

          python z1.py