Deep learning algorithm predicts diabetic retinopathy progression in individual patients
Abstract
The global burden of diabetic retinopathy (DR) continues to worsen and DR remains a leading cause of vision loss worldwide. Here, we describe an algorithm to predict DR progression by means of deep learning (DL), using as input color fundus photographs (CFPs) acquired at a single visit from a patient with DR. The proposed DL models were designed to predict future DR progression, defined as 2-step worsening on the Early Treatment Diabetic...
Paper Details
Title
Deep learning algorithm predicts diabetic retinopathy progression in individual patients
Published Date
Sep 20, 2019
Journal
Volume
2
Issue
1
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