Characterization of the retinal vasculature in fundus photos using the PanOptic iExaminer system.

Hu, Huiling; Wei, Haicheng; Xiao, Mingxia; Jiang, Liqiong; Wang, Huijuan; Jiang, Hong; Rundek, Tatjana; Wang, Jianhua

Hu, Huiling; Wei, Haicheng; Xiao, Mingxia; Jiang, Liqiong; Wang, Huijuan; Jiang, Hong; Rundek, Tatjana; Wang, Jianhua.

Afiliación

Hu H; Shenzhen Key Laboratory of Ophthalmology, Shenzhen Eye Hospital, Jinan University, Shenzhen, China.
Wei H; Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, 1638 NW 10th Avenue, McKnight Building - Room 202A, Miami, FL 33136 USA.
Xiao M; Department of Electrical and Computer Engineering, Florida International University, Miami, FL USA.
Jiang L; School of Electrical and Information Engineering, North Minzu University, Yinchuan, Ningxia China.
Wang H; Department of Electrical and Computer Engineering, Florida International University, Miami, FL USA.
Jiang H; School of Electrical and Information Engineering, North Minzu University, Yinchuan, Ningxia China.
Rundek T; Shenzhen Key Laboratory of Ophthalmology, Shenzhen Eye Hospital, Jinan University, Shenzhen, China.
Wang J; Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, 1638 NW 10th Avenue, McKnight Building - Room 202A, Miami, FL 33136 USA.

Eye Vis (Lond) ; 7: 46, 2020.

Article en En | MEDLINE | ID: mdl-32944589

Palabras clave

Arteriovenous ratio; Deep learning; Image analysis; Retina; Smartphone ophthalmoscope; Vessel density

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Eye Vis (Lond) Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

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