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Retinoptic - Automatic Evaluation Of Diabetic Retinopathy

Bruno Lay,Ronan Danno,Gwenole Quellec,Etienne Decenciere,Ali Erginay,Pascale Massin,Alexandre Le Guilcher,Mathieu Lamard,Beatrice Cochener,Robin Alais

INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE（2019）

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Abstract
Purpose: The RetinOpTIC project performs mass screening of color fundus images and assesses image quality and Diabetic Retinopathy (DR) grade. Algorithm performance is evaluated on the Messidor-2 image database. Methods: Based on artificial intelligence (AI) solutions, referable DR is detected using convolutional neural networks (CNNs). The solution includes first the automatic assessment of the quality of the photography, and then the DR grade
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Key words
diabetic retinopathy,retinoptic-automatic
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