Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning

Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning

Diabetic eye disease is a cause of preventable blindness and accurate and timely referral of patients with diabetic macular edema is important to start treatment. Here the authors present a deep learning model that can predict the presence of diabetic macular edema from color fundus photographs with...

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Main Authors: Avinash V. Varadarajan, Pinal Bavishi, Paisan Ruamviboonsuk, Peranut Chotcomwongse, Subhashini Venugopalan, Arunachalam Narayanaswamy, Jorge Cuadros, Kuniyoshi Kanai, George Bresnick, Mongkol Tadarati, Sukhum Silpa-archa, Jirawut Limwattanayingyong, Variya Nganthavee, Joseph R. Ledsam, Pearse A. Keane, Greg S. Corrado, Lily Peng, Dale R. Webster
Format: article
Language:EN
Published: Nature Portfolio 2020
Subjects:
Science
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Online Access:https://doaj.org/article/00d3202651b84a36837950c21fab3fb0
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https://doaj.org/article/00d3202651b84a36837950c21fab3fb0

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