A self-adaptive deep learning method for automated eye laterality detection based on color fundus photography

PURPOSE: To provide a self-adaptive deep learning (DL) method to automatically detect the eye laterality based on fundus images. METHODS: A total of 18394 fundus images with real-world eye laterality labels were used for model development and internal validation. A separate dataset of 2000 fundus im...

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Detalles Bibliográficos
Autores principales: Liu, Chi, Han, Xiaotong, Li, Zhixi, Ha, Jason, Peng, Guankai, Meng, Wei, He, Mingguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6752776/
https://www.ncbi.nlm.nih.gov/pubmed/31536537
http://dx.doi.org/10.1371/journal.pone.0222025

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6752776/
https://www.ncbi.nlm.nih.gov/pubmed/31536537
http://dx.doi.org/10.1371/journal.pone.0222025

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