Automated Diabetic Retinopathy Image Assessment Software

Volume: 124, Issue: 3, Pages: 343 - 351
Published: Mar 1, 2017
Abstract
ObjectiveWith the increasing prevalence of diabetes, annual screening for diabetic retinopathy (DR) by expert human grading of retinal images is challenging. Automated DR image assessment systems (ARIAS) may provide clinically effective and cost-effective detection of retinopathy. We aimed to determine whether ARIAS can be safely introduced into DR screening pathways to replace human graders.DesignObservational measurement comparison study of...
Paper Details
Title
Automated Diabetic Retinopathy Image Assessment Software
Published Date
Mar 1, 2017
Volume
124
Issue
3
Pages
343 - 351
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