GLEAM is the first tri-modal public glaucoma dataset with fundus, OCT, and visual field images, paired with HAMM, a hierarchical attentive masked modeling framework for multimodal classification.
Bayesian machine learning classifiers for combining structural and functional measurements to classify healthy and glauco- matous eyes
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
GLEAM: A Multimodal Imaging Dataset and HAMM for Glaucoma Classification
GLEAM is the first tri-modal public glaucoma dataset with fundus, OCT, and visual field images, paired with HAMM, a hierarchical attentive masked modeling framework for multimodal classification.