Deep Learning-Based Estimation of Axial Length and Subfoveal Choroidal Thickness From Color Fundus Photographs

This study aimed to develop an automated computer-based algorithm to estimate axial length and subfoveal choroidal thickness (SFCT) based on color fundus photographs. In the population-based Beijing Eye Study 2011, we took fundus photographs and measured SFCT by optical coherence tomography (OCT) an...

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Detalles Bibliográficos
Autores principales: Dong, Li, Hu, Xin Yue, Yan, Yan Ni, Zhang, Qi, Zhou, Nan, Shao, Lei, Wang, Ya Xing, Xu, Jie, Lan, Yin Jun, Li, Yang, Xiong, Jian Hao, Liu, Cong Xin, Ge, Zong Yuan, Jonas, Jost. B., Wei, Wen Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Cell and Developmental Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8063031/
https://www.ncbi.nlm.nih.gov/pubmed/33898450
http://dx.doi.org/10.3389/fcell.2021.653692

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8063031/
https://www.ncbi.nlm.nih.gov/pubmed/33898450
http://dx.doi.org/10.3389/fcell.2021.653692

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