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Deep learning for fully-automated nuclear pleomorphism scoring in breast cancer.
Mercan, Caner; Balkenhol, Maschenka; Salgado, Roberto; Sherman, Mark; Vielh, Philippe; Vreuls, Willem; Polónia, António; Horlings, Hugo M; Weichert, Wilko; Carter, Jodi M; Bult, Peter; Christgen, Matthias; Denkert, Carsten; van de Vijver, Koen; Bokhorst, John-Melle; van der Laak, Jeroen; Ciompi, Francesco.
Affiliation
  • Mercan C; Radboud University Medical Center, Department of Pathology, Nijmegen, The Netherlands.
  • Balkenhol M; Radboud University Medical Center, Department of Pathology, Nijmegen, The Netherlands.
  • Salgado R; GZA-ZNA Hospitals, Department of Pathology, Antwerp, Belgium.
  • Sherman M; Peter Mac Callum Cancer Centre, Division of Research, Melbourne, Australia.
  • Vielh P; Mayo Clinic, Department of Laboratory Medicine and Pathology, Rochester, MN, USA.
  • Vreuls W; Medipath & American Hospital of Paris, Paris, France.
  • Polónia A; Canisius Wilhelmina Ziekenhuis, Nijmegen, The Netherlands.
  • Horlings HM; University of Porto, Institute of Molecular Pathology and Immunology Department of Pathology, Ipatimup Diagnostics, Porto, Portugal.
  • Weichert W; The Netherlands Cancer Institute, Department of Molecular Pathology, Amsterdam, The Netherlands.
  • Carter JM; Technical University Munich, Institute of Pathology, Munich, Germany.
  • Bult P; Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Canada.
  • Christgen M; Radboud University Medical Center, Department of Pathology, Nijmegen, The Netherlands.
  • Denkert C; Hannover Medical School, Institute of Pathology, Hannover, Germany.
  • van de Vijver K; Philipps University of Marburg, Institute of Pathology, Marburg, Germany.
  • Bokhorst JM; Ghent University Hospital and Cancer Research Institute Ghent, Department of Pathology, Ghent, Belgium.
  • van der Laak J; Radboud University Medical Center, Department of Pathology, Nijmegen, The Netherlands.
  • Ciompi F; Radboud University Medical Center, Department of Pathology, Nijmegen, The Netherlands.
NPJ Breast Cancer ; 8(1): 120, 2022 Nov 08.
Article in En | MEDLINE | ID: mdl-36347887
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Full text: 1 Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: NPJ Breast Cancer Year: 2022 Type: Article Affiliation country: Netherlands
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Full text: 1 Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: NPJ Breast Cancer Year: 2022 Type: Article Affiliation country: Netherlands