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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |