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...