Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile

MacCormick, Ian J.C.; Williams, Bryan M.; Zheng, Yalin; Li, Kun; Al-Bander, Baidaa; Czanner, Silvester; Cheeseman, Rob; Willoughby, Colin E.; Brown, Emery N.; Spaeth, George L.; Czanner, Gabriela

Abstract

Glaucoma is the leading cause of irreversible blindness worldwide. It is a heterogeneous group of conditions with a common optic neuropathy and associated loss of peripheral vision. Both over and under-diagnosis carry high costs in terms of healthcare spending and preventable blindness. The characteristic clinical feature of glaucoma is asymmetrical optic nerve rim narrowing, which is difficult for humans to quantify reliably. Strategies to improve and automate optic disc assessment are therefore needed to prevent sight loss.

• Journal Article Type: Article
• Acceptance Date: Dec 5, 2018
• Publication Date: Jan 10, 2019
• Journal: PLoS One
• Print ISSN: 1932-6203
• Publisher: Public Library of Science
• Peer Reviewed: Peer Reviewed
• Volume: 14
• Issue: 1
• Pages: e0209409 - e0209409
• ISBN: 19326203
• DOI: https://doi.org/10.1371/journal.pone.0209409
• Publisher URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0209409