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.
K.et al.Automated 3-d intraretinal layer segmentation of macular spectral-domain optical coherence tomography images.IEEE transactions on medical imaging28, 1436–1447 (2009)
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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.