Your browser doesn't support javascript.
loading
SLCV-a supervised learning-computer vision combined strategy for automated muscle fibre detection in cross-sectional images.
Rettig, Anika; Haase, Tobias; Pletnyov, Alexandr; Kohl, Benjamin; Ertel, Wolfgang; von Kleist, Max; Sunkara, Vikram.
Afiliação
  • Rettig A; Systems Pharmacology and Disease Control, Freie Universität Berlin, Berlin, Germany.
  • Haase T; Department of Traumatology and Reconstructive Surgery, Campus Benjamin Franklin, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
  • Pletnyov A; Department of Traumatology and Reconstructive Surgery, Campus Benjamin Franklin, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
  • Kohl B; Department of Traumatology and Reconstructive Surgery, Campus Benjamin Franklin, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
  • Ertel W; Department of Traumatology and Reconstructive Surgery, Campus Benjamin Franklin, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
  • von Kleist M; Systems Pharmacology and Disease Control, Freie Universität Berlin, Berlin, Germany.
  • Sunkara V; Systems Pharmacology and Disease Control, Freie Universität Berlin, Berlin, Germany.
PeerJ ; 7: e7053, 2019.
Article em En | MEDLINE | ID: mdl-31367478
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prevalence_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prevalence_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article