An Artificial-Intelligence–Based Automated Grading and Lesions Segmentation System for Myopic Maculopathy Based on Color Fundus Photographs

PURPOSE: To develop deep learning models based on color fundus photographs that can automatically grade myopic maculopathy, diagnose pathologic myopia, and identify and segment myopia-related lesions. METHODS: Photographs were graded and annotated by four ophthalmologists and were then divided into...

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Detalles Bibliográficos
Autores principales: Tang, Jia, Yuan, Mingzhen, Tian, Kaibin, Wang, Yuelin, Wang, Dongyue, Yang, Jingyuan, Yang, Zhikun, He, Xixi, Luo, Yan, Li, Ying, Xu, Jie, Li, Xirong, Ding, Dayong, Ren, Yanhan, Chen, Youxin, Sadda, Srinivas R., Yu, Weihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206390/
https://www.ncbi.nlm.nih.gov/pubmed/35704327
http://dx.doi.org/10.1167/tvst.11.6.16

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206390/
https://www.ncbi.nlm.nih.gov/pubmed/35704327
http://dx.doi.org/10.1167/tvst.11.6.16

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