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Deep learning based on hematoxylin-eosin staining outperforms immunohistochemistry in predicting molecular subtypes of gastric adenocarcinoma.
Flinner, Nadine; Gretser, Steffen; Quaas, Alexander; Bankov, Katrin; Stoll, Alexander; Heckmann, Lara E; Mayer, Robin S; Doering, Claudia; Demes, Melanie C; Buettner, Reinhard; Rueschoff, Josef; Wild, Peter J.
Affiliation
  • Flinner N; Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Gretser S; Frankfurt Institute for Advanced Studies (FIAS), Frankfurt am Main, Germany.
  • Quaas A; Frankfurt Cancer Institute (FCI), Frankfurt am Main, Germany.
  • Bankov K; University Cancer Center (UCT), Frankfurt am Main, Germany.
  • Stoll A; Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Heckmann LE; Institute of Pathology, University Hospital Cologne, Cologne, Germany.
  • Mayer RS; Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Doering C; Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Demes MC; Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Buettner R; Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Rueschoff J; Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Wild PJ; Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany.
J Pathol ; 257(2): 218-226, 2022 06.
Article in En | MEDLINE | ID: mdl-35119111
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Full text: 1 Database: MEDLINE Main subject: Stomach Neoplasms / Adenocarcinoma / Deep Learning Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Pathol Year: 2022 Type: Article Affiliation country: Germany
Fulltext
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Full text: 1 Database: MEDLINE Main subject: Stomach Neoplasms / Adenocarcinoma / Deep Learning Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Pathol Year: 2022 Type: Article Affiliation country: Germany