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Deep learning can predict lymph node status directly from histology in colorectal cancer.
Kiehl, Lennard; Kuntz, Sara; Höhn, Julia; Jutzi, Tanja; Krieghoff-Henning, Eva; Kather, Jakob N; Holland-Letz, Tim; Kopp-Schneider, Annette; Chang-Claude, Jenny; Brobeil, Alexander; von Kalle, Christof; Fröhling, Stefan; Alwers, Elizabeth; Brenner, Hermann; Hoffmeister, Michael; Brinker, Titus J.
Afiliación
  • Kiehl L; Digital Biomarkers for Oncology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Kuntz S; Digital Biomarkers for Oncology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Höhn J; Digital Biomarkers for Oncology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Jutzi T; Digital Biomarkers for Oncology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Krieghoff-Henning E; Digital Biomarkers for Oncology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Kather JN; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Holland-Letz T; Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Kopp-Schneider A; Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Chang-Claude J; Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.
  • Brobeil A; Institute of Pathology, University of Heidelberg, Heidelberg, Germany; Tissue Bank of the National Center for Tumor Diseases (NCT), Heidelberg, Germany.
  • von Kalle C; Berlin Institute of Health (BIH) and Charité University Medicine, Berlin, Germany.
  • Fröhling S; Department of Translational Medical Oncology, National Center for Tumor Diseases (NCT), Heidelberg, Germany.
  • Alwers E; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Brenner H; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany; German Cancer Consortium (DKTK), German Cancer Res
  • Hoffmeister M; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Brinker TJ; Digital Biomarkers for Oncology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany. Electronic address: titus.brinker@dkfz.de.
Eur J Cancer ; 157: 464-473, 2021 11.
Article en En | MEDLINE | ID: mdl-34649117
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Texto completo: 1 Colección: 01-internacional Asunto principal: Procesamiento de Imagen Asistido por Computador / Neoplasias Colorrectales / Aprendizaje Profundo / Metástasis Linfática Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Eur J Cancer Año: 2021 Tipo del documento: Article País de afiliación: Alemania
Texto completo
Imprimir
XML
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Buscar en Google

Texto completo: 1 Colección: 01-internacional Asunto principal: Procesamiento de Imagen Asistido por Computador / Neoplasias Colorrectales / Aprendizaje Profundo / Metástasis Linfática Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Eur J Cancer Año: 2021 Tipo del documento: Article País de afiliación: Alemania