Validation of a deep learning system for the detection of diabetic retinopathy in Indigenous Australians

Mark Chia; Fred Hersh; Rory Sayres; Pinal Bavishi; Pearse Keane; Angus Turner

doi:10.1136/bjo-2022-322237

Validation of a deep learning system for the detection of diabetic retinopathy in Indigenous Australians

Mark Chia, Fred Hersh, Rory Sayres, Pinal Bavishi, Pearse Keane, Angus Turner

Centre for Ophthalmology and Visual Science (affiliated with the Lions Eye Institute)

Research output: Contribution to journal › Abstract/Meeting Abstract › peer-review

11 Citations (Scopus)

Original language	English
Article number	bjo-2022-322237
Pages (from-to)	268-273
Number of pages	6
Journal	Investigative ophthalmology & visual science
Volume	108
Issue number	2
DOIs	https://doi.org/10.1136/bjo-2022-322237
Publication status	Published - 6 Feb 2023

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10.1136/bjo-2022-322237Licence: CC BY-NC-ND

Cite this

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title = "Validation of a deep learning system for the detection of diabetic retinopathy in Indigenous Australians",

author = "Mark Chia and Fred Hersh and Rory Sayres and Pinal Bavishi and Pearse Keane and Angus Turner",

year = "2023",

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language = "English",

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journal = "Investigative ophthalmology & visual science",

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publisher = "Association for Research in Vision and Ophthalmology (ARVO)",

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AU - Chia, Mark

AU - Hersh, Fred

AU - Sayres, Rory

AU - Bavishi, Pinal

AU - Keane, Pearse

AU - Turner, Angus

PY - 2023/2/6

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DO - 10.1136/bjo-2022-322237

M3 - Abstract/Meeting Abstract

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JO - Investigative ophthalmology & visual science

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