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

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...

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Publié dans:Nat Commun
Auteurs principaux: 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.
Format: Artigo
Langue:Inglês
Publié: Nature Publishing Group UK 2020
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Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6949287/
https://ncbi.nlm.nih.gov/pubmed/31913272
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-019-13922-8
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