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--- |
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license: mit |
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library_name: pytorch |
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tags: |
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- Medical Vision Language Pre-Training |
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- Foundation Model |
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--- |
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# UrFound Checkpoint Model Card |
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UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling |
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## Model Details |
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- **Paper**: https://arxiv.org/abs/2408.05618 |
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- **Framework**: https://github.com/yukkai/UrFound |
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## Datasets |
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- **Pretrain dataset**: [FLAIR](https://github.com/jusiro/FLAIR) for more details |
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<div align="center"> |
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<img src="urfound_p2.jpg" style="border: 1px solid black; margin: 10px; margin: 10px; width: 50%; height: auto;"> |
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</div> |
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- **Finetune dataset**: [RETFound](https://github.com/rmaphoh/RETFound_MAE) for more details |
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<div align="center"> |
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<img src="urfound_p3.jpg" style="border: 1px solid black; margin: 10px; margin: 10px; width: 50%; height: auto;"> |
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</div> |
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## Citation |
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```bibtex |
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@inproceedings{yu2024urfound, |
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title={UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling}, |
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author={Yu, Kai and Zhou, Yang and Bai, Yang and Soh, Zhi Da and Xu, Xinxing and Goh, Rick Siow Mong and Cheng, Ching-Yu and Liu, Yong}, |
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booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention}, |
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pages={753--762}, |
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year={2024}, |
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organization={Springer} |
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} |
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``` |
