Deep learning for vision screening in resource-limited settings: development of multi-branch CNN for refractive error detection based on smartphone image

Deep learning for vision screening in resource-limited settings: development of multi-branch CNN for refractive error detection based on smartphone image

IntroductionUncorrected refractive errors are a leading cause of preventable vision impairment globally, particularly affecting individuals in low-resource regions where timely diagnosis and screening access remain significant challenges despite the availability of economical treatments.AimThis stud...

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Bibliographic Details
Main Authors: Muhammad Syauqie, Harry Patria, Sutanto Priyo Hastono, Kemal Nazaruddin Siregar, Nila Djuwita Farieda Moeloek
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Computer Science
Subjects:
refractive error detection
vision screening
artificial intelligence
convolutional neural network
smartphone
red reflex
Online Access:https://www.frontiersin.org/articles/10.3389/fcomp.2025.1576958/full
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https://www.frontiersin.org/articles/10.3389/fcomp.2025.1576958/full

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