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This is the code for my graduation thesis and the solution for my BRATS 2020 Challenge.

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This is the code for my graduation thesis and the solution for my BRATS 2020 Challenge.

Image processing

image Here are the four modes of the image and its mask

Neural network architecture

4

Training

First,the image is cropped into patches.Runsrc/partition.py,change the storage address of training set, verification set and test set successively.

train_brats_path = "your-Path_to/MICCAI_BraTS_2020_Data_Training"
output_trainImage = "your-Path_to/trainImage"
output_trainMask = "your-Path_to/trainMask"

And runsrc/train.py,change data_path.Began to run

data_path = 'your-Path_to'

Inference

Runsrc/inference.py,to restore the picture.

Test

Runsrc/test.py.Test it.

Experimental results

训练集对比 Train 训练集对比 Train 验证集对比 Test

训练集评价指标

 

ET

WT

TC

Mean

Dice

0.79655

0.93

0.90825

0.878267

Sensitivity

0.78583

0.91073

0.91593

0.87083

Specificity

0.99978

0.99959

0.9996

0.999657

Hausdorff95

22.91558

3.84997

3.74955

10.1717

验证集评价指标

 

ET

WT

TC

Mean

Dice

0.71534

0.89413

0.80496

0.80481

Sensitivity

0.70984

0.88827

0.81775

0.805287

Specificity

0.99971

0.99917

0.99938

0.99942

Hausdorff95

36.16794

4.63229

9.53405

16.77809

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This is the code for my graduation thesis and the solution for my BRATS 2020 Challenge.

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