Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study
Abstract
In any community, the key to understanding the burden of a specific condition is to conduct an epidemiological study. The deep learning system (DLS) recently showed promising diagnostic performance for diabetic retinopathy (DR). This study aims to use DLS as the grading tool, instead of human assessors, to determine the prevalence and the systemic cardiovascular risk factors for DR on fundus photographs, in patients with diabetes. This is a...
Paper Details
Title
Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study
Published Date
Apr 10, 2019
Journal
Volume
2
Issue
1
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