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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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/00d3202651b84a36837950c21fab3fb0
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spelling	oai:doaj.org-article:00d3202651b84a36837950c21fab3fb02021-12-02T14:41:23ZPredicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning10.1038/s41467-019-13922-82041-1723https://doaj.org/article/00d3202651b84a36837950c21fab3fb02020-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13922-8https://doaj.org/toc/2041-1723Diabetic 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 superior specificity and positive predictive value compared to retinal specialists.Avinash V. VaradarajanPinal BavishiPaisan RuamviboonsukPeranut ChotcomwongseSubhashini VenugopalanArunachalam NarayanaswamyJorge CuadrosKuniyoshi KanaiGeorge BresnickMongkol TadaratiSukhum Silpa-archaJirawut LimwattanayingyongVariya NganthaveeJoseph R. LedsamPearse A. KeaneGreg S. CorradoLily PengDale R. WebsterNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q 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 Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning
description	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 superior specificity and positive predictive value compared to retinal specialists.
format	article
author	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
author_facet	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
author_sort	Avinash V. Varadarajan
title	Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning
title_short	Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning
title_full	Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning
title_fullStr	Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning
title_full_unstemmed	Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning
title_sort	predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/00d3202651b84a36837950c21fab3fb0
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Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning

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