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[CVPR2021] DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets

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Hi, thanks for the nice work! Could you share the preprocessed dataset by nnunet?

Hello, I am running the code on multiple partially labelled datasets, including BTCV and FLARE22, with the goal to segment multiple organs using the same model. Since each dataset only...

If I only want to segment the liver, kidney, and spleen (without tumors), do I need to change --num_classes?

Hi, I downloaded the chekcpoint and did the inference but found that the Dice of Kidney (and Kidney's tumor) is close to 0! Like the following figure shows. Did anyone...

你好,我想向你申请数据集。我通过代码给的链接下载数据集,随时掉,就很耽搁时间,所以想数据集申请。

`File "train.py", line 266, in main() File "train.py", line 151, in main args.reload_path, map_location=torch.device('cpu'))) File "C:\Users\shafi\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\module.py", line 1407, in load_state_dict self.__class__.__name__, "\n\t".join(error_msgs))) RuntimeError: Error(s) in loading state_dict for unet3D: Missing...

A shell script to run to download all of the MOTS data gdown is a requirement (can be installed with pip install gdown) takes `target_path` as an argument to download...

adding a `continue` for the KiTS dataset, since it has a different format as the rest