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zhoupzh 39c8321589 | 2 years ago | |
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check | 2 years ago | |
data | 2 years ago | |
models | 2 years ago | |
testdata/nii | 2 years ago | |
config.py | 2 years ago | |
main.py | 2 years ago | |
npytonii.py | 2 years ago | |
readme.txt | 2 years ago | |
test.py | 2 years ago |
Overview:
The goal of the code is to evaluate automated algorithms for Four organs
were segmented from CT images: heart, esophagus, trachea and aorta.
The original dataset is from MICCAI SegTHOR challenge.
How to use:
Dependencies:
This tutorial depends on the following libraries:
python>=3.0
torch
torchvision
numpy
Run main.py #eg python main.py
You will see the network training process.
Run test.py #eg python test.py
You will see the predicted results of test image in data.
segmentation results in ./pre_out/
#备注,由于显存限制,训练代码可能会报错内存溢出,测试代码应该正常。
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