Article
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning.
Nature communications - 8 Jan 2020
Varadarajan Avinash V, Bavishi Pinal, Ruamviboonsuk Paisan, Chotcomwongse Peranut, Venugopalan Subhashini, Narayanaswamy Arunachalam, Cuadros Jorge, Kanai Kuniyoshi, Bresnick George, Tadarati Mongkol, Silpa-Archa Sukhum, Limwattanayingyong Jirawut, Nganthavee Variya, Ledsam Joseph R, Keane Pearse A, Corrado Greg S, Peng Lily, Webster Dale R
Abstract excerpt
Center-involved diabetic macular edema (ci-DME) is a major cause of vision loss. Although the gold standard for diagnosis involves 3D imaging, 2D imaging by fundus photography is usually used in screening settings, resulting in high false-positive and false-negative calls. To address this, we train a deep learning model to predict ci-DME from fundus photographs, with an ROC-AUC of 0.89 (95% CI: 0.87-0.91),...
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