EyeMVP learns OCT-informed CFP representations via cross-modal masked reconstruction on 674k paired triples and reports competitive or superior performance on 15 retinal classification and segmentation tasks.
Development and validation of a multimodal multitask vision foundation model for generalist ophthalmic artificial intelligence,
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EyeMVP: OCT-Informed Fundus Representation Learning via Paired CFP--OCT Pretraining
EyeMVP learns OCT-informed CFP representations via cross-modal masked reconstruction on 674k paired triples and reports competitive or superior performance on 15 retinal classification and segmentation tasks.