Automatic Refractive Error Estimation Using Deep Learning-Based Analysis of Red Reflex Images

Purpose: We evaluate how a deep learning model can be applied to extract refractive error metrics from pupillary red reflex images taken by a low-cost handheld fundus camera. This could potentially provide a rapid and economical vision-screening method, allowing for early intervention to prevent myo...

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Detalles Bibliográficos
Autores principales: Linde, Glenn, Chalakkal, Renoh, Zhou, Lydia, Huang, Joanna Lou, O’Keeffe, Ben, Shah, Dhaivat, Davidson, Scott, Hong, Sheng Chiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10486607/
https://www.ncbi.nlm.nih.gov/pubmed/37685347
http://dx.doi.org/10.3390/diagnostics13172810

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10486607/
https://www.ncbi.nlm.nih.gov/pubmed/37685347
http://dx.doi.org/10.3390/diagnostics13172810

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