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Deep learning to predict breast cancer sentinel lymph node status on INSEMA histological images.
Marmé, Frederik; Krieghoff-Henning, Eva; Gerber, Bernd; Schmitt, Max; Zahm, Dirk-Michael; Bauerschlag, Dirk; Forstbauer, Helmut; Hildebrandt, Guido; Ataseven, Beyhan; Brodkorb, Tobias; Denkert, Carsten; Stachs, Angrit; Krug, David; Heil, Jörg; Golatta, Michael; Kühn, Thorsten; Nekljudova, Valentina; Gaiser, Timo; Schönmehl, Rebecca; Brochhausen, Christoph; Loibl, Sibylle; Reimer, Toralf; Brinker, Titus J.
Afiliação
  • Marmé F; Department of Obstetrics and Gynaecology, Medical Faculty Mannheim of the University of Heidelberg, Heidelberg, Germany.
  • Krieghoff-Henning E; Digital Biomarkers for Oncology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Gerber B; Department of Obstetrics and Gynecology, University Hospital of Rostock, Rostock, Germany.
  • Schmitt M; Digital Biomarkers for Oncology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Zahm DM; Department of Gynecology, SRH Waldklinikum Gera GmbH, Gera, Germany.
  • Bauerschlag D; Department of Gynecology and Obstetrics, University Medical Center Schleswig-Holstein (UKSH), Campus Kiel, Kiel, Germany.
  • Forstbauer H; GOSPL-Gesellschaft für onkologische Studien, Troisdorf, Germany.
  • Hildebrandt G; Department of Radiotherapy, University Medicine Rostock, Rostock, Germany.
  • Ataseven B; Department of Gynecology, Gynecologic Oncology and Obstetrics, Klinikum Lippe, Bielefeld University, Medical School and University Medical Center East Westphalia-Lippe, Bielefeld, Germany.
  • Brodkorb T; Department of Obstetrics and Gynaecology, Medical Faculty Mannheim of the University of Heidelberg, Heidelberg, Germany.
  • Denkert C; Institute of Pathology, University Clinic Marburg, Marburg, Germany.
  • Stachs A; Department of Obstetrics and Gynecology, University Hospital of Rostock, Rostock, Germany.
  • Krug D; Klinik für Strahlentherapie, Universitätsklinikum Schleswig-Holstein, Kiel, Germany.
  • Heil J; Brustzentrum Heidelberg - Klinik St. Elisabeth, Heidelberg, Germany; Department of Obstetrics and Gynecology, Uniklinikum Heidelberg, Heidelberg, Germany.
  • Golatta M; Brustzentrum Heidelberg - Klinik St. Elisabeth, Heidelberg, Germany; Department of Obstetrics and Gynecology, Uniklinikum Heidelberg, Heidelberg, Germany.
  • Kühn T; Department of Gynaecology and Obstetrics, Klinikum Esslingen, Neckar, Germany.
  • Nekljudova V; German Breast Group, GBG Forschungs GmbH, Neu-Isenburg, Germany.
  • Gaiser T; Institute of Pathology, Medical Faculty Mannheim of the University of Heidelberg, Heidelberg, Germany.
  • Schönmehl R; Institute of Pathology, Medical Faculty Mannheim of the University of Heidelberg, Heidelberg, Germany.
  • Brochhausen C; Institute of Pathology, Medical Faculty Mannheim of the University of Heidelberg, Heidelberg, Germany; Institute of Pathology, University Regensburg, Regensburg, Germany.
  • Loibl S; German Breast Group, GBG Forschungs GmbH, Neu-Isenburg, Germany.
  • Reimer T; Department of Obstetrics and Gynecology, University Hospital of Rostock, Rostock, Germany.
  • Brinker TJ; Digital Biomarkers for Oncology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany. Electronic address: titus.brinker@dkfz.de.
Eur J Cancer ; 195: 113390, 2023 12.
Article em En | MEDLINE | ID: mdl-37890350
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Linfonodo Sentinela / Linfadenopatia / Aprendizado Profundo Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Linfonodo Sentinela / Linfadenopatia / Aprendizado Profundo Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article