An Artificial Intelligent Risk Classification Method of High Myopia Based on Fundus Images.

Wan, Cheng; Li, Han; Cao, Guo-Fan; Jiang, Qin; Yang, Wei-Hua

Wan, Cheng; Li, Han; Cao, Guo-Fan; Jiang, Qin; Yang, Wei-Hua.

Afiliação

Wan C; College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, China.
Li H; College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, China.
Cao GF; The Laboratory of Artificial Intelligence and Bigdata in Ophthalmology, The Affiliated Eye Hospital of Nanjing Medical University, Nanjing 210029, China.
Jiang Q; The Laboratory of Artificial Intelligence and Bigdata in Ophthalmology, The Affiliated Eye Hospital of Nanjing Medical University, Nanjing 210029, China.
Yang WH; The Laboratory of Artificial Intelligence and Bigdata in Ophthalmology, The Affiliated Eye Hospital of Nanjing Medical University, Nanjing 210029, China.

J Clin Med ; 10(19)2021 Sep 29.

Article em En | MEDLINE | ID: mdl-34640509

Palavras-chave

computer-aided diagnosis; fundus images; high myopia; risk classification

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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