Identification of ocular refraction based on deep learning algorithm as a novel retinoscopy method

Identification of ocular refraction based on deep learning algorithm as a novel retinoscopy method

Abstract Background The evaluation of refraction is indispensable in ophthalmic clinics, generally requiring a refractor or retinoscopy under cycloplegia. Retinal fundus photographs (RFPs) supply a wealth of information related to the human eye and might provide a promising approach that is more con...

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Bibliographic Details
Main Authors: Haohan Zou, Shenda Shi, Xiaoyan Yang, Jiaonan Ma, Qian Fan, Xuan Chen, Yibing Wang, Mingdong Zhang, Jiaxin Song, Yanglin Jiang, Lihua Li, Xin He, Vishal Jhanji, Shengjin Wang, Meina Song, Yan Wang
Format: Article
Language:English
Published: BMC 2022-12-01
Series:BioMedical Engineering OnLine
Subjects:
Deep learning
Fusion model
Ocular refraction
Retinal fundus photographs
Cycloplegic refraction
Online Access:https://doi.org/10.1186/s12938-022-01057-9

Internet

https://doi.org/10.1186/s12938-022-01057-9

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