Deep learning for predicting refractive error from multiple photorefraction images

BACKGROUND: Refractive error detection is a significant factor in preventing the development of myopia. To improve the efficiency and accuracy of refractive error detection, a refractive error detection network (REDNet) is proposed that combines the advantages of a convolutional neural network (CNN)...

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Detalles Bibliográficos
Autores principales: Xu, Daoliang, Ding, Shangshang, Zheng, Tianli, Zhu, Xingshuai, Gu, Zhiheng, Ye, Bin, Fu, Weiwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360706/
https://www.ncbi.nlm.nih.gov/pubmed/35941613
http://dx.doi.org/10.1186/s12938-022-01025-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360706/
https://www.ncbi.nlm.nih.gov/pubmed/35941613
http://dx.doi.org/10.1186/s12938-022-01025-3

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