Tumor_Segmentation-master.zip
(预估有个50文件)
Tumor_Segmentation-master
.gitignore
12B
README.md
547B
outputs
state_dict_model.pt
7.42MB
historyResUNet
3KB
UNet.json
4KB
ResUNet.pt
7.61MB
ResUNet.json
1KB
historyUNet
8KB
UNet.pt
7.42MB
.vscode
settings.json
79B
train.py
2KB
CPUtrain.ipynb
539KB
evaluate.py
1KB
example.ipynb
3KB
setup
UNet.py
4KB
classifier.py
5KB
plot.py
1KB
dataset.py
2KB
ResUNet.py
3KB
__pycache__
__init__.cpython-38.pyc
158B
plot.cpython-38.pyc
1KB
classifier.cpython-38.pyc
4KB
model2.cpython-38.pyc
3KB
dataset.cpython-38.pyc
2KB
UNet.cpython-38.pyc
3KB
ResUNet.cpython-38.pyc
3KB
model.cpython-38.pyc
3KB
loss.cpython-38.pyc
1KB
mat_to_png.py
1008B
__init__.py
0B
loss.py
798B
loss_plot.py
348B
demo
loss_UNet.png
29KB
0
316KB
10
372KB
1
391KB
11
447KB
8
445KB
4
359KB
9
416KB
14
334KB
7
372KB
logo.jpg
14KB
5
443KB
loss_ResUNet.png
27KB
12
314KB
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427KB
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450KB
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409KB
13
462KB
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