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