major package upgrade&new weights
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## RETFound - A foundation model for retinal imaging
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Official repo including a series of retinal foundation models.
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[RETFound: a foundation model for generalizable disease detection from retinal images](https://www.nature.com/articles/s41586-023-06555-x), which is based on [MAE](https://github.com/facebookresearch/mae):
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[New checkpoints](https://www.nature.com/articles/s41586-023-06555-x), which is based on [DINOV2](https://github.com/facebookresearch/dinov2):
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Official repo including a series of retinal foundation models.<br>
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[RETFound: a foundation model for generalizable disease detection from retinal images](https://www.nature.com/articles/s41586-023-06555-x), which is based on [MAE](https://github.com/facebookresearch/mae).<br>
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[New checkpoints](https://huggingface.co/YukunZhou), some of which are based on [DINOV2](https://github.com/facebookresearch/dinov2):
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Please contact **ykzhoua@gmail.com** or **yukun.zhou.19@ucl.ac.uk** if you have questions.
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Keras version implemented by Yuka Kihara can be found [here](https://github.com/uw-biomedical-ml/RETFound_MAE)
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@@ -85,7 +86,7 @@ To fine tune RETFound on your own data, follow these steps:
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</tr>
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<!-- TABLE BODY -->
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<tr><td align="left">RETFound_dinov2_shanghai</td>
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<td align="center"><a href="https://huggingface.co/YukunZhou/RETFound_dinov2_shanghai">download</a></td>
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<td align="center"><a href="https://huggingface.co/YukunZhou/RETFound_dinov2_shanghai">access</a></td>
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<td align="center">TBD</a></td>
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</tr>
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</tbody></table>
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