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Artificial intelligence and pathology: From principles to practice and future applications in histomorphology and molecular profiling

Year: 2021
Type: review
DOI: 10.1016/j.semcancer.2021.02.011
Authors: Albrecht Stenzinger, Maximilian Alber, Michael Allgäuer, Philipp Jurmeister, Michael Bockmayr, Jan Budczies, Jochen Lennerz, Johannes Eschrich, Daniel Kazdal, Peter Schirmacher, Alex H. Wagner, Frank Tacke, David Capper, Klaus-Robert Müller, Frederick Klauschen
Institutions: German Cancer Research Center, University Hospital Heidelberg, German Center for Lung Research, Deutsches Konsortium für Translationale Krebsforschung, Humboldt-Universität zu Berlin, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Charité – Universitätsmedizin Berlin, University Medical Center Hamburg-Eppendorf, Kinderkrebs-Zentrum Hamburg, Harvard University, Massachusetts General Hospital, Nationwide Children's Hospital, The Ohio State University, Google (United States), Korea University, Max Planck Institute for Informatics, Technische Universität Berlin, Pathologisches Institut, Ludwig-Maximilians-Universität München
Language: English
Open Access status: bronze
OpenAlex ID: W3132478226
FWCI: 1.131
Cites: 161
Cited by: 91
Related to: 10