Development and validation of deep learning algorithms for automated eye laterality detection with anterior segment photography

This paper aimed to develop and validate a deep learning (DL) model for automated detection of the laterality of the eye on anterior segment photographs. Anterior segment photographs for training a DL model were collected with the Scheimpflug anterior segment analyzer. We applied transfer learning a...

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Detalles Bibliográficos
Autores principales: Zheng, Ce, Xie, Xiaolin, Wang, Zhilei, Li, Wen, Chen, Jili, Qiao, Tong, Qian, Zhuyun, Liu, Hui, Liang, Jianheng, Chen, Xu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803760/
https://www.ncbi.nlm.nih.gov/pubmed/33436781
http://dx.doi.org/10.1038/s41598-020-79809-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803760/
https://www.ncbi.nlm.nih.gov/pubmed/33436781
http://dx.doi.org/10.1038/s41598-020-79809-7

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