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Predicting Optical Coherence Tomography-Derived High Myopia Grades From Fundus Photographs Using Deep Learning

PURPOSE: To develop an artificial intelligence (AI) system that can predict optical coherence tomography (OCT)-derived high myopia grades based on fundus photographs. METHODS: In this retrospective study, 1,853 qualified fundus photographs obtained from the Zhongshan Ophthalmic Center (ZOC) were sel...

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Detalles Bibliográficos
Autores principales:	Wu, Zhenquan, Cai, Wenjia, Xie, Hai, Chen, Shida, Wang, Yanbing, Lei, Baiying, Zheng, Yingfeng, Lu, Lin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Medicine
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927672/ https://www.ncbi.nlm.nih.gov/pubmed/35308524 http://dx.doi.org/10.3389/fmed.2022.842680

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