Automated vertical cup-to-disc ratio determination from fundus images for glaucoma detection.

ABSTRACT: Glaucoma is the leading cause of irreversible blindness worldwide. Often asymptomatic for years, this disease can progress significantly before patients become aware of the loss of visual function. Critical examination of the optic nerve through ophthalmoscopy or using fundus images is a crucial component of glaucoma detection before the onset of vision loss. The vertical cup-to-disc ratio (VCDR) is a key structural indicator for glaucoma, as thinning of the superior and inferior neuroretinal rim is a hallmark of the disease. However, manual assessment of fundus images is both time-consuming and subject to variability based on clinician expertise and interpretation. In this study, we develop a robust and accurate automated system employing deep learning (DL) techniques, specifically the YO

SUBMITTER: Gao XR 

PROVIDER: S-EPMC10891153 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature