EyeDiff: A Text-to-Image Diffusion Model for Generating Synthetic Multimodal Ophthalmic Images to Improve Rare and Common Eye Disease Diagnosis

EyeDiff, a novel text-to-image diffusion model, effectively generates realistic synthetic multimodal ophthalmic images from textual descriptions, thereby addressing data scarcity and imbalance in eye disease datasets, and ultimately improving the accuracy of AI models in diagnosing both common and rare eye diseases.