AI RESEARCH
GLEAM: A Multimodal Imaging Dataset and HAMM for Glaucoma Classification
arXiv CS.CV
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ArXi:2603.12800v1 Announce Type: cross We propose glaucoma lesion evaluation and analysis with multimodal imaging (GLEAM), the first publicly available tri-modal glaucoma dataset comprising scanning laser ophthalmoscopy fundus images, circumpapillary OCT images, and visual field pattern deviation maps, annotated with four disease stages, enabling effective exploitation of multimodal complementary information and facilitating accurate diagnosis and treatment across disease stages.