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Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474.
Ghaffari Laleh, Narmin; Muti, Hannah Sophie; Loeffler, Chiara Maria Lavinia; Echle, Amelie; Saldanha, Oliver Lester; Mahmood, Faisal; Lu, Ming Y; Trautwein, Christian; Langer, Rupert; Dislich, Bastian; Buelow, Roman D; Grabsch, Heike Irmgard; Brenner, Hermann; Chang-Claude, Jenny; Alwers, Elizabeth; Brinker, Titus J; Khader, Firas; Truhn, Daniel; Gaisa, Nadine T; Boor, Peter; Hoffmeister, Michael; Schulz, Volkmar; Kather, Jakob Nikolas.
Affiliation
  • Ghaffari Laleh N; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Muti HS; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Loeffler CML; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Echle A; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Saldanha OL; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Mahmood F; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Lu MY; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Trautwein C; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Langer R; Institute of Pathology and Molecular Pathology, Kepler University Hospital, Johannes Kepler University Linz, Linz, Austria.
  • Dislich B; Institute of Pathology, University of Bern, Switzerland.
  • Buelow RD; Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany.
  • Grabsch HI; Department of Pathology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht, The Netherlands.; Division of Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.
  • 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
  • Chang-Claude J; Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; Cancer Epidemiology Group, University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Alwers E; 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.
  • Khader F; Department of Radiology, University Hospital RWTH Aachen, Aachen, Germany.
  • Truhn D; Department of Radiology, University Hospital RWTH Aachen, Aachen, Germany.
  • Gaisa NT; Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany.
  • Boor P; Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany.
  • Hoffmeister M; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Schulz V; Department of Physics of Molecular Imaging Systems, Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany; Comprehensive Diagnostic Center Aachen (CDCA), University Hospital Aachen, Aachen, Germany; Hyperion Hybrid I
  • Kather JN; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany; Division of Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical Un
Med Image Anal ; 82: 102622, 2022 Nov.
Article in En | MEDLINE | ID: mdl-36130464
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Med Image Anal Journal subject: DIAGNOSTICO POR IMAGEM Year: 2022 Document type: Article Affiliation country: Germany
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Med Image Anal Journal subject: DIAGNOSTICO POR IMAGEM Year: 2022 Document type: Article Affiliation country: Germany