Artificial Intelligence Model for Antiinterference Cataract Automatic Diagnosis: A Diagnostic Accuracy Study

Artificial Intelligence Model for Antiinterference Cataract Automatic Diagnosis: A Diagnostic Accuracy Study

Background: Cataract is the leading cause of blindness worldwide. In order to achieve large-scale cataract screening and remarkable performance, several studies have applied artificial intelligence (AI) to cataract detection based on fundus images. However, the fundus images they used are original f...

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Bibliographic Details
Main Authors: Xing Wu, Di Xu, Tong Ma, Zhao Hui Li, Zi Ye, Fei Wang, Xiang Yang Gao, Bin Wang, Yu Zhong Chen, Zhao Hui Wang, Ji Li Chen, Yun Tao Hu, Zong Yuan Ge, Da Jiang Wang, Qiang Zeng
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Cell and Developmental Biology
Subjects:
cataract
artificial intelligence
auxiliary diagnosis
fundus image
convolution neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fcell.2022.906042/full

Internet

https://www.frontiersin.org/articles/10.3389/fcell.2022.906042/full

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