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We've successfully utilized the SAM 2 framework to address both 2D and 3D medical image segmentation tasks.
Feel free to check **paper** [**Medical SAM 2**](https://arxiv.org/abs/2408.00874) here 🤩
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Here are useful ressources to look into:
- Our lab metrics definition: https://github.com/ivadomed/MetricsReloaded
- Panoptica: [Panoptica -- instance-wise evaluation of 3D semantic and instance se…
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Hi Is their any possibilities to add SAM2AutomaticMaskGenerator ?
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**Submitting author:** @nathandecaux (Nathan Decaux)
**Repository:** https://github.com/nathandecaux/labelprop
**Branch with paper.md** (empty if default branch):
**Version:** v1.2
**Editor:** @likea…
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### Description
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The demo url has a bad performance in medical image segmentation, how could I fine-tune it? could you give some prompt or code?
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** Environment **
PyTorch information
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PyTorch version: 1.13.1+cu116
Is debug build: False
CUDA used to build PyTorch: 11.6
ROCM used to build PyTorch: N/A
OS: Ubuntu 20.04…
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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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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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### 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…