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### Model description
I would like to add a new model:
Proposed in the paper: [UNETR: Transformers for 3D Medical Image Segmentation](https://arxiv.org/abs/2103.10504)
UNEt TRansformers (UNET…
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## 🚀 Feature
Hi! It would be great to include surface distance/dice scores from https://github.com/deepmind/surface-distance ( https://docs.monai.io/en/stable/metrics.html#average-surface-distance,…
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Dear Authors,
Thanks for your great work in semi-supervised medical image segmentation.
I am interested in the implement details of experiments very much.
Could the code will be released soon?
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## 書誌情報
### 論文リンク
https://arxiv.org/abs/2102.13645v1
### 著者/所属機関
Davood Karimi, Serge Vasylechko, Ali Gholipour
### conf/journal
arxiv
### year
2021
## どんな論文か?
Like other applications in com…
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**Suggested format**
- Paper title:
- Paper link:
- Code link:
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I would like to ask if categorizing all the papers/adding an extra column regarding type of supervision(supervised/semi-supervised/self-supervised/weakly-supervised/semi-weakly-supervised) is possible…
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[The format of the issue]
Paper name/title:
Project link:
Paper link:
Code link:
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I am using the medical image segmentation model VM-Unet for some tasks, and now I want to modify Mamba to Mamba2 on top of it. How should I make this modification?
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The forward function in the SAM2Base class is currently empty, and the loss function used is not specified. Could you please release the complete training code? This would allow the community to verif…
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Hi all!
Is it possible to convert a medical image segmentation model trained using the [nnU-Net framework](https://github.com/MIC-DKFZ/nnUNet) and stored as a `.pth` file into an MLX compatible forma…