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AcneGrader: An ensemble pruning of the deep learning base models to grade acne.
Liu, Shuai; Fan, Yusi; Duan, Meiyu; Wang, Yueying; Su, Guoxiong; Ren, Yanjiao; Huang, Lan; Zhou, Fengfeng.
Afiliação
  • Liu S; College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, P.R. China.
  • Fan Y; College of Software, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, P.R. China.
  • Duan M; College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, P.R. China.
  • Wang Y; College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, P.R. China.
  • Su G; Beijing Dr. of Acne Medical Research Institute, Beijing, China.
  • Ren Y; College of Information Technology (Smart Agriculture Research Institute), Jilin Agricultural University, Changchun, Jilin, China.
  • Huang L; College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, P.R. China.
  • Zhou F; College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, P.R. China.
Skin Res Technol ; 28(5): 677-688, 2022 Sep.
Article em En | MEDLINE | ID: mdl-35639819
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acne Vulgar / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Adolescent / Humans Idioma: En Revista: Skin Res Technol Assunto da revista: DERMATOLOGIA Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
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PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acne Vulgar / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Adolescent / Humans Idioma: En Revista: Skin Res Technol Assunto da revista: DERMATOLOGIA Ano de publicação: 2022 Tipo de documento: Article