An Introduction to Deep Learning in Pathology

WORLD SCIENTIFIC (EUROPE) eBooks, pp. 137–151

Authors 3

1. Jeremias Krause Aachen Department of Medicine III

   RWTH Aachen University · Universitätsklinikum Aachen

   Affiliation as printed

   Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany

2. Heike Irmgard Grabsch

   Maastricht University · Maastricht University Medical Centre · University of Leeds

   Affiliation as printed

   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

   Department of Pathology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht, The NetherlandsDivision of Pathology and Data Analytics, Leeds Institute of Medical Research at St. James's, University of Leeds, Leeds, UK

3. Jakob Nikolas Kather Aachen Department of Medicine III

   RWTH Aachen University · Universitätsklinikum Aachen · University of Leeds

   Affiliation as printed

   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

   Department of Medicine III, University Hospital RWTH Aachen, Aachen, GermanyDivision of Pathology and Data Analytics, Leeds Institute of Medical Research at St. James's, University of Leeds, Leeds, UK