Glaucoma diagnosis in the era of deep learning: A survey

Mona Ashtari-Majlan, Mohammad Mahdi Dehshibi, David Masip

Abstract: Highlights•Surveyed deep learning techniques (2017–2023) for glaucoma diagnosis.•Categorized glaucoma diagnosis feature extraction methods.•Studied datasets, architectures, and metrics for glaucoma diagnosis.•Outlined challenges and future directions in glaucoma diagnosis.

External IDs:doi:10.1016/j.eswa.2024.124888