Skip to Main Content

Paper Details

Artificial intelligence and pathology: From principles to practice and future applications in histomorphology and molecular profiling.
Semin Cancer Biol
30
2022
cancer, pathologists, tumor
Artificial Intelligence, Humans, Machine Learning, Neoplasms, Prognosis
Author NameAffiliation
Albrecht StenzingerInstitute of Pathology, University Hospital Heidelberg, and German Cancer Research Center (DKFZ), Germany German Center for Lung Research (DZL)
Maximilian AlberInstitute of Pathology, Charite - Universitatsmedizin Berlin, Corporate Member of Freie Universitat Berlin, Humboldt-Universitat zu Berlin and Berlin Institute of Health
Michael Allg??uerInstitute of Pathology, University Hospital Heidelberg
Philipp JurmeisterInstitute of Pathology, Charite - Universitatsmedizin Berlin, Corporate Member of Freie Universitat Berlin, Humboldt-Universitat zu Berlin and Berlin Institute of Health, and German Cancer Research Center (DKFZ)
Michael BockmayrInstitute of Pathology, Charite - Universitatsmedizin Berlin, Corporate Member of Freie Universitat Berlin, Humboldt-Universitat zu Berlin and Berlin Institute of Health, University Medical Center Hamburg-Eppendorf, Germany Research Institute, Children's Cancer Center Hamburg
Jan BudcziesInstitute of Pathology, University Hospital Heidelberg, and German Cancer Research Center (DKFZ)
Jochen K LennerzCenter for Integrated Diagnostics, Harvard Medical School, Massachusetts General Hospital
Johannes EschrichCharite University Medical Center
Daniel KazdalInstitute of Pathology, University Hospital Heidelberg, Germany German Center for Lung Research (DZL)
Peter SchirmacherInstitute of Pathology, University Hospital Heidelberg, and German Cancer Research Center (DKFZ)
Alex H WagnerThe Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, The Ohio State University
Frank TackeCharite University Medical Center
David Capperand German Cancer Research Center (DKFZ), Charite - Universitatsmedizin Berlin, Corporate Member of Freie Universitat Berlin, Humboldt-Universitat zu Berlin
David Capperand German Cancer Research Center (DKFZ), Charite - Universitatsmedizin Berlin, Corporate Member of Freie Universitat Berlin, Humboldt-Universitat zu Berlin
Klaus-Robert M??llerTechnische Universitat Berlin, Korea University, South Korea Max-Planck-Institute for Informatics, Germany Google Research
Frederick KlauschenInstitute of Pathology, Charite - Universitatsmedizin Berlin, Corporate Member of Freie Universitat Berlin, Humboldt-Universitat zu Berlin and Berlin Institute of Health, and German Cancer Research Center (DKFZ), Germany Institute of Pathology, Ludwig-Maximilians-Universitat Munchen
  • 1 - 16

Datasets