MacCormick, IJC, Williams, BM, Zheng, Y, Li, K, Al-Bander, B ORCID: https://orcid.org/0000-0002-2518-7364, Czanner, S, Cheeseman, R, Willoughby, CE, Brown, EN, Spaeth, GL and Czanner, G (2019) Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile. PLoS One, 14 (1). e0209409 - e0209409.

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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.

Item Type: Article
Additional Information: © 2019 MacCormick et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Natural Sciences > School of Computing and Mathematics
Depositing User: Symplectic
Date Deposited: 02 Aug 2022 14:47
Last Modified: 02 Aug 2022 14:47
URI: https://eprints.keele.ac.uk/id/eprint/11219

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