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

BACKGROUND: Accurately 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 amblyopia risk. OBJECTI...

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Detalles Bibliográficos
Autores principales: Chun, Jaehyeong, Kim, Youngjun, Shin, Kyoung Yoon, Han, Sun Hyup, Oh, Sei Yeul, Chung, Tae-Young, Park, Kyung-Ah, Lim, Dong Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7238094/
https://www.ncbi.nlm.nih.gov/pubmed/32369035
http://dx.doi.org/10.2196/16225

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7238094/
https://www.ncbi.nlm.nih.gov/pubmed/32369035
http://dx.doi.org/10.2196/16225

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