Development and Evaluation of a Deep Learning System for Screening Retinal Hemorrhage Based on Ultra-Widefield Fundus Images

PURPOSE: To develop and evaluate a deep learning (DL) system for retinal hemorrhage (RH) screening using ultra-widefield fundus (UWF) images. METHODS: A total of 16,827 UWF images from 11,339 individuals were used to develop the DL system. Three experienced retina specialists were recruited to grade...

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Detalles Bibliográficos
Autores principales: Li, Zhongwen, Guo, Chong, Nie, Danyao, Lin, Duoru, Zhu, Yi, Chen, Chuan, Xiang, Yifan, Xu, Fabao, Jin, Chenjin, Zhang, Xiayin, Yang, Yahan, Zhang, Kai, Zhao, Lanqin, Zhang, Ping, Han, Yu, Yun, Dongyuan, Wu, Xiaohang, Yan, Pisong, Lin, Haotian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Special Issue
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7255628/
https://www.ncbi.nlm.nih.gov/pubmed/32518708
http://dx.doi.org/10.1167/tvst.9.2.3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7255628/
https://www.ncbi.nlm.nih.gov/pubmed/32518708
http://dx.doi.org/10.1167/tvst.9.2.3

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