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.
Nature Biomed- ical Engineering pp
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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.