526 citations · 676 across the 23 of their papers we have counts for
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cs.CV2019
Automatic detection of rare pathologies in fundus photographs using few-shot learning
Gwenolé Quellec, Mathieu Lamard, Pierre-Henri Conze +2
In the last decades, large datasets of fundus photographs have been collected in diabetic retinopathy (DR) screening networks. Through deep learning, these datasets were used to tr…
eess.IV2019★ 6 cited
Instant automatic diagnosis of diabetic retinopathy
Gwenolé Quellec, Mathieu Lamard, Bruno Lay +4
The purpose of this study is to evaluate the performance of the OphtAI system for the automatic detection of referable diabetic retinopathy (DR) and the automatic assessment of DR…