Deep learning for detecting visually impaired cataracts using fundus images

Purpose: To develop a visual function-based deep learning system (DLS) using fundus images to screen for visually impaired cataracts. Materials and methods: A total of 8,395 fundus images (5,245 subjects) with corresponding visual function parameters collected from three clinical centers were used t...

Descripción completa

Detalles Bibliográficos
Autores principales: Xie, He, Li, Zhongwen, Wu, Chengchao, Zhao, Yitian, Lin, Chengmin, Wang, Zhouqian, Wang, Chenxi, Gu, Qinyi, Wang, Minye, Zheng, Qinxiang, Jiang, Jiewei, Chen, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Cell and Developmental Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416247/
https://www.ncbi.nlm.nih.gov/pubmed/37576595
http://dx.doi.org/10.3389/fcell.2023.1197239

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416247/
https://www.ncbi.nlm.nih.gov/pubmed/37576595
http://dx.doi.org/10.3389/fcell.2023.1197239

Ejemplares similares