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Deep learning for detecting visually impaired cataracts using fundus images.
Xie, He; Li, Zhongwen; Wu, Chengchao; Zhao, Yitian; Lin, Chengmin; Wang, Zhouqian; Wang, Chenxi; Gu, Qinyi; Wang, Minye; Zheng, Qinxiang; Jiang, Jiewei; Chen, Wei.
Afiliação
  • Xie H; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
  • Li Z; Ningbo Eye Hospital, Wenzhou Medical University, Ningbo, China.
  • Wu C; School of Electronic Engineering, Xi'an University of Posts and Telecommunications, Xi'an, China.
  • Zhao Y; Ningbo Eye Hospital, Wenzhou Medical University, Ningbo, China.
  • Lin C; Cixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China.
  • Wang Z; Department of Ophthalmology, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Wenzhou, China.
  • Wang C; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
  • Gu Q; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
  • Wang M; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
  • Zheng Q; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
  • Jiang J; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
  • Chen W; Ningbo Eye Hospital, Wenzhou Medical University, Ningbo, China.
Front Cell Dev Biol ; 11: 1197239, 2023.
Article em En | MEDLINE | ID: mdl-37576595
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Cell Dev Biol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Cell Dev Biol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China