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currently the model is trained only on CT images, but now the need of mri models are growing, how the model can be trained to do universal segmentation on any modalities ?
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**Motivation**
Medical imaging is one of the main use cases for semantic segmentation (heck, [U-Net](https://arxiv.org/abs/1505.04597) was actually invented to perform Biomedical Image Segmentation!)…
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### What feature or change would you like to see made?
- Implement the ability to convert label map segmentations into 3D surface representations
- Leverage existing conversion utilities or algorith…
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[The format of the issue]
Paper name/title:
Project link:
Paper link:
Code link:
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I need this dataset for my research. Does anyone know????
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- 2D
- 3D
# Reference
- [ ] [Github repo](https://github.com/IntelAI/unet)
- [ ] [Datasets - Medical Segmentation Decathlon](http://medicaldecathlon.com/)
- [ ] [Intel® Neural Compute Stick 2 f…
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Is it possible for YOLO team to replace nn.conv2d with nn.conv3d in the future because it is very useful for medical imaging which is 3d format? I believe if it change to 3d level, it would be robust …
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We need to develop (and maintain) a good base image for SDS 2.0 guest VMs, which will be used for GPU enabled VMs which AI research experts will be able access in private and be root on.
This card is…
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## タイトル: SAM2の3次元CT画像セグメンテーションにおける性能に関するレビューと評価
## リンク: https://arxiv.org/abs/2408.11210
## 概要:
Segment Anything 2 (SAM2) のリリース以来、医用画像コミュニティでは、3D 医用画像セグメンテーションにおけるそのパフォーマンス評価が積極的に行われてきました。しかし、研究によ…
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Dear Opacus,
I've been looking into 3D segmentation models for medical imaging. I use several architectures, half of them from the Monai library.
When I try to run Opacus in combination with th…