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Artificial intelligence and pathology: From principles to practice and future applications in histomorphology and molecular profiling.
Stenzinger, Albrecht; Alber, Maximilian; Allgäuer, Michael; Jurmeister, Philipp; Bockmayr, Michael; Budczies, Jan; Lennerz, Jochen; Eschrich, Johannes; Kazdal, Daniel; Schirmacher, Peter; Wagner, Alex H; Tacke, Frank; Capper, David; Müller, Klaus-Robert; Klauschen, Frederick.
Afiliação
  • Stenzinger A; Institute of Pathology, University Hospital Heidelberg, Im Neuenheimer Feld 224, Heidelberg, 69120, Germany; German Cancer Consortium (DKTK), Partner Site Heidelberg, and German Cancer Research Center (DKFZ), Heidelberg, Germany; German Center for Lung Research (DZL), Partner Site Heidelberg, Heidel
  • Alber M; Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany; Aignostics GmbH, Schumannstr. 17, Berlin, 10117, Germany.
  • Allgäuer M; Institute of Pathology, University Hospital Heidelberg, Im Neuenheimer Feld 224, Heidelberg, 69120, Germany.
  • Jurmeister P; Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany; German Cancer Consortium (DKTK), Partner Site Berlin, and German Cancer Research Center (DKFZ), Heidelberg, Germ
  • Bockmayr M; Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany; Department of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany;
  • Budczies J; Institute of Pathology, University Hospital Heidelberg, Im Neuenheimer Feld 224, Heidelberg, 69120, Germany; German Cancer Consortium (DKTK), Partner Site Heidelberg, and German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Lennerz J; Department of Pathology, Center for Integrated Diagnostics, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA.
  • Eschrich J; Department of Hepatology & Gastroenterology, Charité University Medical Center, Berlin, Germany.
  • Kazdal D; Institute of Pathology, University Hospital Heidelberg, Im Neuenheimer Feld 224, Heidelberg, 69120, Germany; German Center for Lung Research (DZL), Partner Site Heidelberg, Heidelberg, Germany.
  • Schirmacher P; Institute of Pathology, University Hospital Heidelberg, Im Neuenheimer Feld 224, Heidelberg, 69120, Germany; German Cancer Consortium (DKTK), Partner Site Heidelberg, and German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Wagner AH; The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, 43205, USA; Department of Pediatrics, The Ohio State University, Columbus, OH, 43210, USA.
  • Tacke F; Department of Hepatology & Gastroenterology, Charité University Medical Center, Berlin, Germany.
  • Capper D; German Cancer Consortium (DKTK), Partner Site Berlin, and German Cancer Research Center (DKFZ), Heidelberg, Germany; Department of Neuropathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
  • Müller KR; Machine Learning Group, Technische Universität Berlin, Berlin, 10587, Germany; Department of Artificial Intelligence, Korea University, Seoul, 136-713, South Korea; Max-Planck-Institute for Informatics, Saarland Informatics Campus E1 4, Saarbrücken, 66123, Germany; Google Research, Brain Team, Berli
  • Klauschen F; Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany; German Cancer Consortium (DKTK), Partner Site Berlin, and German Cancer Research Center (DKFZ), Heidelberg, Germ
Semin Cancer Biol ; 84: 129-143, 2022 09.
Article em En | MEDLINE | ID: mdl-33631297
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Semin Cancer Biol Assunto da revista: NEOPLASIAS Ano de publicação: 2022 Tipo de documento: Article País de publicação: Reino Unido
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Semin Cancer Biol Assunto da revista: NEOPLASIAS Ano de publicação: 2022 Tipo de documento: Article País de publicação: Reino Unido