Learning to screen Glaucoma like the ophthalmologists

This work targets glaucoma screening for patients, but it appears incremental as it focuses on applying existing AI techniques to a new multimodal dataset without introducing novel methods.

The paper addresses the challenge of screening glaucoma by combining 2D fundus images and 3D optical coherence tomography volumes, as part of the GAMMA Challenge, aiming to develop AI models that mimic ophthalmologists' methods.