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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Detalles Bibliográficos
Autores principales: Wu, Xing, Xu, Di, Ma, Tong, Li, Zhao Hui, Ye, Zi, Wang, Fei, Gao, Xiang Yang, Wang, Bin, Chen, Yu Zhong, Wang, Zhao Hui, Chen, Ji Li, Hu, Yun Tao, Ge, Zong Yuan, Wang, Da Jiang, Zeng, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cell and Developmental Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355278/
https://www.ncbi.nlm.nih.gov/pubmed/35938155
http://dx.doi.org/10.3389/fcell.2022.906042

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355278/
https://www.ncbi.nlm.nih.gov/pubmed/35938155
http://dx.doi.org/10.3389/fcell.2022.906042

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