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Weakly supervised end-to-end artificial intelligence in gastrointestinal endoscopy.
Buendgens, Lukas; Cifci, Didem; Ghaffari Laleh, Narmin; van Treeck, Marko; Koenen, Maria T; Zimmermann, Henning W; Herbold, Till; Lux, Thomas Joachim; Hann, Alexander; Trautwein, Christian; Kather, Jakob Nikolas.
Afiliación
  • Buendgens L; Department of Medicine III, University Hospital RWTH Aachen, Pauwelsstrasse 30, 52074, Aachen, Germany.
  • Cifci D; Department of Medicine III, University Hospital RWTH Aachen, Pauwelsstrasse 30, 52074, Aachen, Germany.
  • Ghaffari Laleh N; Department of Medicine III, University Hospital RWTH Aachen, Pauwelsstrasse 30, 52074, Aachen, Germany.
  • van Treeck M; Department of Medicine III, University Hospital RWTH Aachen, Pauwelsstrasse 30, 52074, Aachen, Germany.
  • Koenen MT; Department of Medicine III, University Hospital RWTH Aachen, Pauwelsstrasse 30, 52074, Aachen, Germany.
  • Zimmermann HW; Department of Medicine, Rhein-Maas-Klinikum, Würselen, Germany.
  • Herbold T; Department of Medicine III, University Hospital RWTH Aachen, Pauwelsstrasse 30, 52074, Aachen, Germany.
  • Lux TJ; Department of Visceral Surgery and Transplantation, University Hospital RWTH Aachen, Aachen, Germany.
  • Hann A; Interventional and Experimental Endoscopy (InExEn), Internal Medicine II, University Hospital Würzburg, Würzburg, Germany.
  • Trautwein C; Interventional and Experimental Endoscopy (InExEn), Internal Medicine II, University Hospital Würzburg, Würzburg, Germany.
  • Kather JN; Department of Medicine III, University Hospital RWTH Aachen, Pauwelsstrasse 30, 52074, Aachen, Germany.
Sci Rep ; 12(1): 4829, 2022 03 22.
Article en En | MEDLINE | ID: mdl-35318364

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Redes Neurales de la Computación Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Redes Neurales de la Computación Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: Alemania