Deep Convolutional Neural Networks for Automatic Detection of Orbital Blowout Fractures.

Li, Lunhao; Song, Xuefei; Guo, Yucheng; Liu, Yuchen; Sun, Rou; Zou, Hao; Zhou, Huifang; Fan, Xianqun

Li, Lunhao; Song, Xuefei; Guo, Yucheng; Liu, Yuchen; Sun, Rou; Zou, Hao; Zhou, Huifang; Fan, Xianqun.

Afiliação

Li L; Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine.
Song X; Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai.
Guo Y; Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine.
Liu Y; Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai.
Sun R; Tsimage Medical Technology, Yantian Modern Industry Service Center, Shenzhen.
Zou H; Department of Automation, School of Information Science and Engineering, East China University of Science and Technology, Shanghai.
Zhou H; Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine.
Fan X; Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai.

J Craniofac Surg ; 31(2): 400-403, 2020.

Article em En | MEDLINE | ID: mdl-31842071

Assuntos

Rede Nervosa; Fraturas Orbitárias/diagnóstico por imagem; Adulto; Humanos; Tomografia Computadorizada por Raios X

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fraturas Orbitárias / Rede Nervosa Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies Limite: Adult / Humans Idioma: En Revista: J Craniofac Surg Assunto da revista: ODONTOLOGIA Ano de publicação: 2020 Tipo de documento: Article País de publicação: Estados Unidos

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