Deep Learning–Based Prediction of Refractive Error Using Photorefraction Images Captured by a Smartphone: Model Development and Validation Study

Deep Learning–Based Prediction of Refractive Error Using Photorefraction Images Captured by a Smartphone: Model Development and Validation Study

BackgroundAccurately predicting refractive error in children is crucial for detecting amblyopia, which can lead to permanent visual impairment, but is potentially curable if detected early. Various tools have been adopted to more easily screen a large number of patients for a...

Full description

Bibliographic Details
Main Authors: Chun, Jaehyeong, Kim, Youngjun, Shin, Kyoung Yoon, Han, Sun Hyup, Oh, Sei Yeul, Chung, Tae-Young, Park, Kyung-Ah, Lim, Dong Hui
Format: Article
Language:English
Published: JMIR Publications 2020-05-01
Series:JMIR Medical Informatics
Online Access:https://medinform.jmir.org/2020/5/e16225

Internet

https://medinform.jmir.org/2020/5/e16225

Similar Items