Automated measurement of the disc-fovea angle based on DeepLabv3.

Zheng, Bo; Shen, Yifan; Luo, Yuxin; Fang, Xinwen; Zhu, Shaojun; Zhang, Jie; Wu, Maonian; Jin, Ling; Yang, Weihua; Wang, Chenghu

Zheng, Bo; Shen, Yifan; Luo, Yuxin; Fang, Xinwen; Zhu, Shaojun; Zhang, Jie; Wu, Maonian; Jin, Ling; Yang, Weihua; Wang, Chenghu.

Afiliação

Zheng B; School of Information Engineering, Huzhou University, Huzhou, China.
Shen Y; Zhejiang Province Key Laboratory of Smart Management & Application of Modern Agricultural Resources, Huzhou University, Huzhou, China.
Luo Y; School of Information Engineering, Huzhou University, Huzhou, China.
Fang X; The Laboratory of Artificial Intelligence and Bigdata in Ophthalmology, Affiliated Eye Hospital of Nanjing Medical University, Nanjing, China.
Zhu S; School of Information Engineering, Huzhou University, Huzhou, China.
Zhang J; School of Information Engineering, Huzhou University, Huzhou, China.
Wu M; Zhejiang Province Key Laboratory of Smart Management & Application of Modern Agricultural Resources, Huzhou University, Huzhou, China.
Jin L; Advanced Ophthalmology Laboratory (AOL), Robotrak Technologies, Nanjing, China.
Yang W; School of Information Engineering, Huzhou University, Huzhou, China.
Wang C; Zhejiang Province Key Laboratory of Smart Management & Application of Modern Agricultural Resources, Huzhou University, Huzhou, China.

Front Neurol ; 13: 949805, 2022.

Article em En | MEDLINE | ID: mdl-35968300

Palavras-chave

artificial intelligence; automatic measurement; deep learning; disc-fovea angle; retinal images

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Neurol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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