Your browser doesn't support javascript.
loading
Detection of duodenal villous atrophy on endoscopic images using a deep learning algorithm.
Scheppach, Markus W; Rauber, David; Stallhofer, Johannes; Muzalyova, Anna; Otten, Vera; Manzeneder, Carolin; Schwamberger, Tanja; Wanzl, Julia; Schlottmann, Jakob; Tadic, Vidan; Probst, Andreas; Schnoy, Elisabeth; Römmele, Christoph; Fleischmann, Carola; Meinikheim, Michael; Miller, Silvia; Märkl, Bruno; Stallmach, Andreas; Palm, Christoph; Messmann, Helmut; Ebigbo, Alanna.
Afiliação
  • Scheppach MW; Internal Medicine III-Gastroenterology, University Hospital of Augsburg, Augsburg, Germany.
  • Rauber D; Regensburg Medical Image Computing (ReMIC), Ostbayerische Technische Hochschule Regensburg, Regensburg, Germany; Regensburg Center of Biomedical Engineering, Ostbayerische Technische Hochschule Regensburg, Regensburg, Germany.
  • Stallhofer J; Department of Internal Medicine IV (Gastroenterology, Hepatology, and Infectious Diseases), Jena University Hospital, Jena, Germany.
  • Muzalyova A; Internal Medicine III-Gastroenterology, University Hospital of Augsburg, Augsburg, Germany.
  • Otten V; Internal Medicine III-Gastroenterology, University Hospital of Augsburg, Augsburg, Germany.
  • Manzeneder C; Internal Medicine III-Gastroenterology, University Hospital of Augsburg, Augsburg, Germany.
  • Schwamberger T; Internal Medicine III-Gastroenterology, University Hospital of Augsburg, Augsburg, Germany.
  • Wanzl J; Internal Medicine III-Gastroenterology, University Hospital of Augsburg, Augsburg, Germany.
  • Schlottmann J; Internal Medicine III-Gastroenterology, University Hospital of Augsburg, Augsburg, Germany.
  • Tadic V; Internal Medicine III-Gastroenterology, University Hospital of Augsburg, Augsburg, Germany.
  • Probst A; Internal Medicine III-Gastroenterology, University Hospital of Augsburg, Augsburg, Germany.
  • Schnoy E; Internal Medicine III-Gastroenterology, University Hospital of Augsburg, Augsburg, Germany.
  • Römmele C; Internal Medicine III-Gastroenterology, University Hospital of Augsburg, Augsburg, Germany.
  • Fleischmann C; Internal Medicine III-Gastroenterology, University Hospital of Augsburg, Augsburg, Germany.
  • Meinikheim M; Internal Medicine III-Gastroenterology, University Hospital of Augsburg, Augsburg, Germany.
  • Miller S; Department of Pathology, University Hospital of Augsburg, Augsburg, Germany.
  • Märkl B; Department of Pathology, University Hospital of Augsburg, Augsburg, Germany.
  • Stallmach A; Department of Internal Medicine IV (Gastroenterology, Hepatology, and Infectious Diseases), Jena University Hospital, Jena, Germany.
  • Palm C; Regensburg Medical Image Computing (ReMIC), Ostbayerische Technische Hochschule Regensburg, Regensburg, Germany; Regensburg Center of Biomedical Engineering, Ostbayerische Technische Hochschule Regensburg, Regensburg, Germany.
  • Messmann H; Internal Medicine III-Gastroenterology, University Hospital of Augsburg, Augsburg, Germany.
  • Ebigbo A; Internal Medicine III-Gastroenterology, University Hospital of Augsburg, Augsburg, Germany.
Gastrointest Endosc ; 97(5): 911-916, 2023 05.
Article em En | MEDLINE | ID: mdl-36646146
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Gastrointest Endosc Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Gastrointest Endosc Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha