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# MedCLIPSeg: Probabilistic Vision–Language Adaptation for Data-Efficient and Generalizable Medical Image Segmentation
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**[Health-X Lab](http://www.healthx-lab.ca/)** | **[IMPACT Lab](https://users.encs.concordia.ca/~impact/)**
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[Taha Koleilat](https://tahakoleilat.github.io/),
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[Hojat Asgariandehkordi](https://scholar.google.com/citations?user=ndXNye4AAAAJ&hl=en),
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[Omid Nejati Manzari](https://omid-nejati.github.io/),
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[Berardino Barile](https://scholar.google.com/citations?user=odmpMGcAAAAJ&hl=en),
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[Yiming Xiao](https://yimingxiao.weebly.com/curriculum-vitae.html)<sup>†</sup>,
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[Hassan Rivaz](https://users.encs.concordia.ca/~hrivaz/)<sup>†</sup>
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<a href="https://arxiv.org/abs/2602.20423" target="_blank"><img alt="arXiv" src="https://img.shields.io/badge/arXiv-2602.20423-B31B1B?logo=arxiv&logoColor=white" height="25"/></a>
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<a href="https://tahakoleilat.github.io/MedCLIPSeg" target="_blank"><img alt="Project Website" src="https://img.shields.io/badge/%F0%9F%94%97%20Project-Website-blue" height="25"/></a>
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<a href="https://github.com/HealthX-Lab/MedCLIPSeg" target="_blank"><img alt="Code" src="https://img.shields.io/badge/Code-GitHub-1f6feb?logo=github&logoColor=white" height="25"/></a>
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# MedCLIPSeg: Probabilistic Vision–Language Adaptation for Data-Efficient and Generalizable Medical Image Segmentation
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<a href="https://arxiv.org/abs/2602.20423" target="_blank"><img alt="arXiv" src="https://img.shields.io/badge/arXiv-2602.20423-B31B1B?logo=arxiv&logoColor=white" height="25"/></a>
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<a href="https://tahakoleilat.github.io/MedCLIPSeg" target="_blank"><img alt="Project Website" src="https://img.shields.io/badge/%F0%9F%94%97%20Project-Website-blue" height="25"/></a>
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<a href="https://github.com/HealthX-Lab/MedCLIPSeg" target="_blank"><img alt="Code" src="https://img.shields.io/badge/Code-GitHub-1f6feb?logo=github&logoColor=white" height="25"/></a>
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