OphMAE is a multimodal masked autoencoder that fuses volumetric 3D and planar 2D OCT imaging, achieving SOTA AUCs of 96.9% for AMD and 97.2% for DME while adapting to single-modality or low-data scenarios.
R.et al.Global causes of blindness and distance vision impairment 1990–2020: a systematic review and meta-analysis.The Lancet Global Health5, e1221–e1234 (2017)
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OphMAE: Bridging Volumetric and Planar Imaging with a Foundation Model for Adaptive Ophthalmological Diagnosis
OphMAE is a multimodal masked autoencoder that fuses volumetric 3D and planar 2D OCT imaging, achieving SOTA AUCs of 96.9% for AMD and 97.2% for DME while adapting to single-modality or low-data scenarios.