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[Development and application of a fundus image quality assessment system based on computer vision technology].
Xu, Y; Ling, S G; Dong, Z; Ke, X; Lu, L N; Zou, H D.
Afiliação
  • Xu Y; Shanghai Eye Diseases Prevention &Treatment Center/Shanghai Eye Hospital, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200040, China.
  • Ling SG; Shanghai Eye Diseases Prevention &Treatment Center/Shanghai Eye Hospital, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200040, China.
  • Dong Z; Shanghai Eye Diseases Prevention &Treatment Center/Shanghai Eye Hospital, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200040, China.
  • Ke X; Shanghai Eye Diseases Prevention &Treatment Center/Shanghai Eye Hospital, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200040, China.
  • Lu LN; Shanghai Eye Diseases Prevention &Treatment Center/Shanghai Eye Hospital, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200040, China.
  • Zou HD; Shanghai Eye Diseases Prevention &Treatment Center/Shanghai Eye Hospital, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200040, China.
Zhonghua Yan Ke Za Zhi ; 56(12): 920-927, 2020 Dec 11.
Article em Zh | MEDLINE | ID: mdl-33342118
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Tipo de estudo: Prognostic_studies Limite: Aged / Aged80 / Female / Humans / Male / Middle aged País como assunto: Asia Idioma: Zh Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Tipo de estudo: Prognostic_studies Limite: Aged / Aged80 / Female / Humans / Male / Middle aged País como assunto: Asia Idioma: Zh Ano de publicação: 2020 Tipo de documento: Article