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Automatic body part identification in real-world clinical dermatological images using machine learning.
Sitaru, Sebastian; Oueslati, Talel; Schielein, Maximilian C; Weis, Johanna; Kaczmarczyk, Robert; Rueckert, Daniel; Biedermann, Tilo; Zink, Alexander.
Afiliação
  • Sitaru S; Technical University of Munich, School of Medicine, Department of Dermatology and Allergy, Munich, Germany.
  • Oueslati T; Technical University of Munich, School of Medicine, Department of Dermatology and Allergy, Munich, Germany.
  • Schielein MC; Technical University of Munich, School of Medicine, Department of Dermatology and Allergy, Munich, Germany.
  • Weis J; Technical University of Munich, School of Medicine, Department of Dermatology and Allergy, Munich, Germany.
  • Kaczmarczyk R; Technical University of Munich, School of Medicine, Department of Dermatology and Allergy, Munich, Germany.
  • Rueckert D; Technical University of Munich, School of Medicine, Institute of AI and Informatics in Medicine, Munich, Germany.
  • Biedermann T; Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, UK.
  • Zink A; Technical University of Munich, School of Medicine, Department of Dermatology and Allergy, Munich, Germany.
J Dtsch Dermatol Ges ; 21(8): 863-869, 2023 08.
Article em En | MEDLINE | ID: mdl-37306036

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Corpo Humano / Eczema Tipo de estudo: Diagnostic_studies / Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: J Dtsch Dermatol Ges Assunto da revista: DERMATOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Corpo Humano / Eczema Tipo de estudo: Diagnostic_studies / Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: J Dtsch Dermatol Ges Assunto da revista: DERMATOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha