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

Internet

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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