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

doi:10.1371/journal.pone.0209409

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

Authors

Ian J.C. MacCormick

Bryan M. Williams

Yalin Zheng

Kun Li

Baidaa Al-Bander b.al-bander@keele.ac.uk

Silvester Czanner

Rob Cheeseman

Colin E. Willoughby

Emery N. Brown

George L. Spaeth

Gabriela Czanner

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