Enhanced Visualization of Retinal Microvasculature via Deep Learning on OCTA Image Quality.

Xu, Yishuang; Su, Yu; Hua, Dihao; Heiduschka, Peter; Zhang, Wenliang; Cao, Tianyue; Liu, Jingcheng; Ji, Zhenyu; Eter, Nicole

Xu, Yishuang; Su, Yu; Hua, Dihao; Heiduschka, Peter; Zhang, Wenliang; Cao, Tianyue; Liu, Jingcheng; Ji, Zhenyu; Eter, Nicole.

Affiliation

Xu Y; Eye Center, Renmin Hospital of Wuhan University, Wuhan, China.
Su Y; Department of Ophthalmology, University of Muenster Medical Center, Muenster, Germany.
Hua D; Eye Center, Renmin Hospital of Wuhan University, Wuhan, China.
Heiduschka P; Eye Center, Renmin Hospital of Wuhan University, Wuhan, China.
Zhang W; Department of Ophthalmology, University of Muenster Medical Center, Muenster, Germany.
Cao T; Department of Ophthalmology, University of Muenster Medical Center, Muenster, Germany.
Liu J; Department of Ophthalmology, University of Muenster Medical Center, Muenster, Germany.
Ji Z; Eye Center, Renmin Hospital of Wuhan University, Wuhan, China.
Eter N; Department of Endocrinology & Metabolism, Renmin Hospital of Wuhan University, Wuhan, China.

Dis Markers ; 2021: 1373362, 2021.

Article in En | MEDLINE | ID: mdl-34221184

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Optic Nerve / Retinal Vessels / Radiographic Image Interpretation, Computer-Assisted / Macula Lutea Type of study: Qualitative_research Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Dis Markers Journal subject: BIOQUIMICA Year: 2021 Document type: Article Affiliation country:

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