Optic disc features in UKBIOBANK (UKBB) and the novel deep learning (DL) algorithm for automated prediction of cup-disc ratio (CDR) from colour fundus (CF) images


Hamill, Barbra, Peto, Tunde, Gao, Dongxu, Patri, Godhuli, Madhusudhan, Savita, Zheng, Yalin ORCID: 0000-0002-7873-0922, Foster, Paul, Balaskas, Konstantinos, Quinn, Michael Joseph, Lenfestey, Pauline et al (show 6 more authors) (2022) Optic disc features in UKBIOBANK (UKBB) and the novel deep learning (DL) algorithm for automated prediction of cup-disc ratio (CDR) from colour fundus (CF) images. .

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Item Type: Conference or Workshop Item (Unspecified)
Divisions: Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Institute of Life Courses and Medical Sciences
Depositing User: Symplectic Admin
Date Deposited: 18 Oct 2022 07:44
Last Modified: 18 Jan 2023 20:36
Open Access URL: https://iovs.arvojournals.org/article.aspx?article...
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URI: https://livrepository.liverpool.ac.uk/id/eprint/3165576
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