Comments (4)
wentaozhu
commented on July 17, 2024
You may read the paper for details https://www.researchgate.net/profile/Wentao_Zhu4/publication/329224429_AnatomyNet_Deep_Learning_for_Fast_and_Fully_Automated_Whole-volume_Segmentation_of_Head_and_Neck_Anatomy/links/5c075ae4458515ae5447b0eb/AnatomyNet-Deep-Learning-for-Fast-and-Fully-Automated-Whole-volume-Segmentation-of-Head-and-Neck-Anatomy.pdf
The script is just for reference.
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ducheng678
commented on July 17, 2024
ok
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wwwwwuxueyu
commented on July 17, 2024
你好
我看到您在脚本中使用了tversky损失。
与论文中提到的混合损失相同吗？
I have a problem when running the code, I want to ask you
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wentaozhu
commented on July 17, 2024
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Related Issues (20)
- How did you pre-process the Data? I mean, how did you convert the dicom images to numpy arrays.... HOT 2
- Is there any code available for visualizations? HOT 2
- Is the trained-model saved somewhere, in drive or cloud?? Its taking too long to train HOT 2
- Model is not training for 3rd organ(Mandible) HOT 8
- Is code available for Evaluation? HOT 2
- What is the logic for training with different optimizers? HOT 1
- About Pytorch version HOT 11
- Question regarding fdl_loss_wmask implementation. HOT 1
- 关于preprocess的遇到一点问题 HOT 11
- difference between baselineSERes18Conc and anatomy net HOT 4
- about model file HOT 1
- How to remove CT scanner artifacts from the images HOT 2
- Error about TypeError: slice indices must be integers or None or have an __index__ method HOT 1
- About the loss used in this paper HOT 1
- About the loss HOT 3
- About the finetuning
- Training
- it seems the baseline outperforms the anatomyNet? HOT 4
- hybrid loss of AnatomyNet HOT 1
- about lung nodule/tumor segmentation HOT 4
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