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  **MedVision**, a large-scale, multi-anatomy, multi-modality dataset for quantitative medical image analysis.
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- 🌏 **Project**: https://medvision-vlm.github.io
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- πŸ§‘πŸ»β€πŸ’» **Code**: https://github.com/YongchengYAO/MedVision
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-
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- 🩻 **Huggingface Dataset**: [YongchengYAO/MedVision](https://huggingface.co/datasets/YongchengYAO/MedVision)
 
 
 
 
 
 
 
 
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  <br/>
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  # TODO
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- - [ ] Add preprint, project page
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  - [x] Add instructions on how to prepare the SKM-TEA and ToothFairy2 datasets
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  - [ ] Add tutorial on how to expand the dataset
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  **MedVision**, a large-scale, multi-anatomy, multi-modality dataset for quantitative medical image analysis.
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+ 🌏 [**Project**](https://medvision-vlm.github.io) πŸ§‘πŸ»β€πŸ’» [**Code**](https://github.com/YongchengYAO/MedVision) 🩻 [**Dataset**](https://huggingface.co/datasets/YongchengYAO/MedVision) πŸ€— [**SFT Models**](https://huggingface.co/collections/YongchengYAO/medvision-sft-models) πŸ“– [**arXiv**](https://arxiv.org/abs/2511.18676)
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+ ```
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+ @misc{yao2025medvisiondatasetbenchmarkquantitative,
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+ title={MedVision: Dataset and Benchmark for Quantitative Medical Image Analysis},
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+ author={Yongcheng Yao and Yongshuo Zong and Raman Dutt and Yongxin Yang and Sotirios A Tsaftaris and Timothy Hospedales},
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+ year={2025},
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+ eprint={2511.18676},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV},
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+ url={https://arxiv.org/abs/2511.18676},
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+ }
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+ ```
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  <br/>
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  # TODO
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+ - [x] Add preprint, project page
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  - [x] Add instructions on how to prepare the SKM-TEA and ToothFairy2 datasets
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  - [ ] Add tutorial on how to expand the dataset
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