TahaKoleilat/MedCLIPSeg
MedCLIPSeg: Probabilistic Vision–Language Adaptation for Data-Efficient and Generalizable Medical Image Segmentation Health-X Lab | IMPACT Lab Taha Koleilat, Hojat Asgariandehkordi, Omid Nejati Manzari, Berardino Barile, Yiming Xiao†, Hassan Rivaz† Overview Medical image segmentation remains challenging due to limited annotations for training, ambiguous anatomical features, and domain shifts. While vision–language models such as CLIP offer strong… See the full description on the dataset page: https://huggingface.co/datasets/TahaKoleilat/MedCLIPSeg.
| Author / organization | TahaKoleilat |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 1K (as reported by Hugging Face) |
| Likes | 2 |
| Created | 27 December 2025 |
| Last updated at source | 24 March 2026 |
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- 16 Oct 2026 Description: MedCLIPSeg: Probabilistic Vision–Language Adaptation for Data-Efficient and Generalizable Medical Image Segmentation Health-X Lab | IMPACT Lab Taha Koleilat, Hojat Asgariandehkordi, Omid Nejati Manzari, Berardino Barile, Yiming Xiao†, Hassa → MedCLIPSeg: Probabilistic Vision–Language Adaptation for Data-Efficient and Generalizable Medical Image Segmentation Health-X Lab | IMPACT Lab Taha Koleilat, Hojat Asgariandehkordi, Omid Nejati Manzari, Berardino Barile, Yiming Xiao†, Hassa
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