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A Novel Convolutional Neural Network for the Diagnosis and Classification of Rosacea: Usability Study.
Zhao, Zhixiang; Wu, Che-Ming; Zhang, Shuping; He, Fanping; Liu, Fangfen; Wang, Ben; Huang, Yingxue; Shi, Wei; Jian, Dan; Xie, Hongfu; Yeh, Chao-Yuan; Li, Ji.
Afiliação
  • Zhao Z; Department of Dermatology, Xiangya Hospital of Central South University, Changsha, China.
  • Wu CM; Hunan Key Laboratory of Aging Biology, Xiangya Hospital of Central South University, Changsha, China.
  • Zhang S; aetherAI, Co Ltd, Taipei, Taiwan, China.
  • He F; Department of Dermatology, Xiangya Hospital of Central South University, Changsha, China.
  • Liu F; Hunan Key Laboratory of Aging Biology, Xiangya Hospital of Central South University, Changsha, China.
  • Wang B; Department of Dermatology, Xiangya Hospital of Central South University, Changsha, China.
  • Huang Y; Hunan Key Laboratory of Aging Biology, Xiangya Hospital of Central South University, Changsha, China.
  • Shi W; Department of Dermatology, Xiangya Hospital of Central South University, Changsha, China.
  • Jian D; Hunan Key Laboratory of Aging Biology, Xiangya Hospital of Central South University, Changsha, China.
  • Xie H; Department of Dermatology, Xiangya Hospital of Central South University, Changsha, China.
  • Yeh CY; Hunan Key Laboratory of Aging Biology, Xiangya Hospital of Central South University, Changsha, China.
  • Li J; Department of Dermatology, Xiangya Hospital of Central South University, Changsha, China.
JMIR Med Inform ; 9(3): e23415, 2021 Mar 15.
Article em En | MEDLINE | ID: mdl-33720027

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article