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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Bibliografiske detaljer
Udgivet i:Front Cell Dev Biol
Main Authors: 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
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2021
Fag:
Cell and Developmental Biology
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8063031/
https://ncbi.nlm.nih.gov/pubmed/33898450
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fcell.2021.653692
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