A deep learning approach for automated detection of geographic atrophy from color fundus photographs

PURPOSE: To assess the utility of deep learning in the detection of geographic atrophy (GA) from color fundus photographs; secondary aim to explore potential utility in detecting central GA (CGA). DESIGN: A deep learning model was developed to detect the presence of GA in color fundus photographs, a...

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Detalhes bibliográficos
Publicado no:Ophthalmology
Main Authors: Keenan, Tiarnan D., Dharssi, Shazia, Peng, Yifan, Chen, Qingyu, Agrón, Elvira, Wong, Wai T., Lu, Zhiyong, Chew, Emily Y.
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6810830/
https://ncbi.nlm.nih.gov/pubmed/31358385
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ophtha.2019.06.005
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