Development and validation of an artificial intelligence-powered acne grading system incorporating lesion identification.

Li, Jiaqi; Du, Dan; Zhang, Jianwei; Liu, Wenjie; Wang, Junyou; Wei, Xin; Xue, Li; Li, Xiaoxue; Diao, Ping; Zhang, Lei; Jiang, Xian

Li, Jiaqi; Du, Dan; Zhang, Jianwei; Liu, Wenjie; Wang, Junyou; Wei, Xin; Xue, Li; Li, Xiaoxue; Diao, Ping; Zhang, Lei; Jiang, Xian.

Afiliação

Li J; Department of Dermatology, West China Hospital, Sichuan University, Chengdu, China.
Du D; Laboratory of Dermatology, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Clinical Institute of Inflammation and Immunology, Sichuan University, Chengdu, China.
Zhang J; Med-X Center for Informatics, Sichuan University, Chengdu, China.
Liu W; Department of Dermatology, West China Hospital, Sichuan University, Chengdu, China.
Wang J; Laboratory of Dermatology, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Clinical Institute of Inflammation and Immunology, Sichuan University, Chengdu, China.
Wei X; Med-X Center for Informatics, Sichuan University, Chengdu, China.
Xue L; Med-X Center for Informatics, Sichuan University, Chengdu, China.
Li X; College of Computer Science, Sichuan University, Chengdu, Sichuan, China.
Diao P; Med-X Center for Informatics, Sichuan University, Chengdu, China.
Zhang L; College of Computer Science, Sichuan University, Chengdu, Sichuan, China.
Jiang X; Med-X Center for Informatics, Sichuan University, Chengdu, China.

Front Med (Lausanne) ; 10: 1255704, 2023.

Article em En | MEDLINE | ID: mdl-37869155

Palavras-chave

acne; acne lesions; artificial intelligence; dermatology; grading system

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Med (Lausanne) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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