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

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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Bibliographic Details
Main Authors: Li Dong, Xin Yue Hu, Yan Ni Yan, Qi Zhang, Nan Zhou, Lei Shao, Ya Xing Wang, Jie Xu, Yin Jun Lan, Yang Li, Jian Hao Xiong, Cong Xin Liu, Zong Yuan Ge, Jost. B. Jonas, Wen Bin Wei
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Cell and Developmental Biology
Subjects:
deep learning
convolution neural network
axial length
subfoveal choroidal thickness
fundus photography
fundus image
Online Access:https://www.frontiersin.org/articles/10.3389/fcell.2021.653692/full

Internet

https://www.frontiersin.org/articles/10.3389/fcell.2021.653692/full

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