Dual-IFM delivers state-of-the-art-comparable performance on retinal fundus images with inherent local and global interpretability through evidence maps and 2D projections after training on over 800,000 images.
Journal of diabetes science and technology3(3), 509–516 (2009)
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Towards Interpretable Foundation Models for Retinal Fundus Images
Dual-IFM delivers state-of-the-art-comparable performance on retinal fundus images with inherent local and global interpretability through evidence maps and 2D projections after training on over 800,000 images.