Geometric Deep Learning to Identify the Critical 3D Structural Features of the Optic Nerve Head for Glaucoma Diagnosis. (arXiv:2204.06931v1 [eess.IV])

Purpose: The optic nerve head (ONH) undergoes complex and deep 3D
morphological changes during the development and progression of glaucoma.
Optical coherence tomography (OCT) is the current gold standard to visualize
and quantify these changes, however the resulting 3D deep-tissue information
has not yet been fully exploited for the diagnosis and prognosis of glaucoma.
To this end, we aimed: (1) To compare the performance of two relatively recent
geometric deep learning techniques in diagnosing glaucoma from a single OCT
scan …

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