Rudnicka, A; Shakespeare, R; Fajtl, J; Chambers, R; Bolter, L; Anderson, J; Olvera-Barrios, A; Barman, S; Egan, CA; Owen, C; et al. Rudnicka, A; Shakespeare, R; Fajtl, J; Chambers, R; Bolter, L; Anderson, J; Olvera-Barrios, A; Barman, S; Egan, CA; Owen, C; Tufail, A; Rudnicka, A; Shakespeare, R; Fajtl, J; Chambers, R; Bolter, L; Anderson, J; Olvera-Barrios, A; Barman, S; Egan, CA; Owen, C; Tufail, A (2024) Evaluation of equity in performance of Artificial Intelligence for diabetic retinopathy (DR) detection. In: 2024 ARVO Annual Meeting, INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, May 5-9, 2024, Seattle, WA.
SGUL Authors: Rudnicka, Alicja Regina Owen, Christopher Grant

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Item Type:	Conference or Workshop Item (Paper)
Additional Information:	This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0).
SGUL Research Institute / Research Centre:	Academic Structure > Population Health Research Institute (INPH)
Journal or Publication Title:	INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
Article Number:	4922
ISSN:	0146-0404
Related URLs:	https://www.webofscience.com/api/gateway...
Publisher License:	Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0
Dates:	Date Event 2024-06 Published
URI:	https://openaccess.sgul.ac.uk/id/eprint/118282

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