Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia.

Gao, Meng; Wang, Yue; Xu, Haipeng; Xu, Congcong; Yang, Xianhong; Nie, Jin; Zhang, Ziye; Li, Zhixuan; Hou, Wei; Jiang, Yiqun

Gao, Meng; Wang, Yue; Xu, Haipeng; Xu, Congcong; Yang, Xianhong; Nie, Jin; Zhang, Ziye; Li, Zhixuan; Hou, Wei; Jiang, Yiqun.

Afiliação

Gao M; Institute of Dermatology and Hospital for Skin Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College. dermengao@163.com.
Hou W; Hospital of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, #12 Jiangwangmiao Road, Nanjing, Jiangsu, China. houwei210042@139.com.
Jiang Y; Hospital of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, #12 Jiangwangmiao Road, Nanjing, Jiangsu, China. yiqunjiang@qq.com.

Acta Derm Venereol ; 102: adv00635, 2022 Jan 26.

Article em En | MEDLINE | ID: mdl-34935989

Assuntos

Aprendizado Profundo; Alopecia/diagnóstico por imagem; Cabelo; Humanos; Masculino

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Revista: Acta Derm Venereol Ano de publicação: 2022 Tipo de documento: Article

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