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Thomas R. P. Taylor

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Open access Aug 2026

A Comparison of Machine Learning and Human Graders for Glaucoma Diagnosis from Fundus Images for Population Screening.

PURPOSE To compare the accuracy of vertical cup-disc ratios (VCDR), ascertained by machine learning (ML) versus human graders, from fundus images for glaucoma detection. This study utilizes population-based data, with a disease prevalence and case-mix that is closer to a real-world setting than conventional case-contro...

Thomas R. P. Taylor, Justin Khasentino, Robert N. Luben et al. · 1 citation

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