"A Disease-Specific Foundation Model Using Over 100K Fundus Images: Release and Validation for Abnormality and Multi-Disease Classification on Downstream Tasks"

Please contact balinda@snu.ac.kr or boajang97@gmail.com if you have questions.

The repository is currently empty. All codes will be uploaded after publication.

Key Features

• Fundus and ImageNet+Fundus is pre-trained on 0.1 million retinal images with super-vised learning.
• Fundus and ImageNet+Fundus can be efficiently adapted to customised tasks.

Fine-tuning with Fundus and ImageNet+Fundus weights

• "The current maintenance and GitHub update are scheduled. The model will be released after the paper is published."

📃Citation

If you find this repository useful, please consider citing this paper:

Acknowledgements