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Deep learning trained on lymph node status predicts outcome from gastric cancer histopathology: a retrospective multicentric study.
Muti, Hannah S; Röcken, Christoph; Behrens, Hans-Michael; Löffler, Chiara M L; Reitsam, Nic G; Grosser, Bianca; Märkl, Bruno; Stange, Daniel E; Jiang, Xiaofeng; Velduizen, Gregory P; Truhn, Daniel; Ebert, Matthias P; Grabsch, Heike I; Kather, Jakob N.
Affiliation
  • Muti HS; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany; Department of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus Dresden, Dresden, Germany.
  • Röcken C; Department of Pathology, University Hospital Schleswig-Holstein, Kiel, Germany.
  • Behrens HM; Department of Pathology, University Hospital Schleswig-Holstein, Kiel, Germany.
  • Löffler CML; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany; Department of Medicine I, University Hospital Dresden, Dresden, Germany.
  • Reitsam NG; Pathology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
  • Grosser B; Pathology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
  • Märkl B; Pathology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
  • Stange DE; Department of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus Dresden, Dresden, Germany.
  • Jiang X; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.
  • Velduizen GP; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.
  • Truhn D; Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Germany.
  • Ebert MP; Department of Medicine II, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; DKFZ-Hector Cancer Institute at the University Medical Center, Mannheim, Germany; Clinical Cooperation Unit Healthy Metabolism, Center for Preventive Medicine and Digital Health, Medical Faculty Mannheim,
  • Grabsch HI; Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK; Department of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, the Netherlands.
  • Kather JN; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany; Department of Medicine I, University Hospital Dresden, Dresden, Germany; Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK; Medical Oncolo
Eur J Cancer ; 194: 113335, 2023 11.
Article in En | MEDLINE | ID: mdl-37862795
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Stomach Neoplasms / Deep Learning Limits: Humans Language: En Journal: Eur J Cancer Year: 2023 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Stomach Neoplasms / Deep Learning Limits: Humans Language: En Journal: Eur J Cancer Year: 2023 Document type: Article Affiliation country: Country of publication: