Performance of a Deep Learning System and Performance of Optometrists for the Detection of Glaucomatous Optic Neuropathy Using Colour Retinal Photographs

Performance of a Deep Learning System and Performance of Optometrists for the Detection of Glaucomatous Optic Neuropathy Using Colour Retinal Photographs

Background/Objectives: Glaucoma is the leading cause of irreversible blindness, with a significant proportion of cases remaining undiagnosed globally. The interpretation of optic disc and retinal nerve fibre layer images poses challenges for optometrists and ophthalmologists, often leading to misdia...

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Main Authors: Catherine L. Jan, Algis Vingrys, Jacqueline Henwood, Xianwen Shang, Christian Davey, Peter van Wijngaarden, George Y. X. Kong, Jennifer C. Fan Gaskin, Bernardo P. Soares Bezerra, Randall S. Stafford, Mingguang He
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Bioengineering
Subjects:
artificial intelligence
glaucoma detection
primary care
deep learning
Online Access:https://www.mdpi.com/2306-5354/11/11/1139
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