Deep learning detects genetic alterations in cancer histology generated by adversarial networks-Reference-Cited by-同舟云学术

Deep learning detects genetic alterations in cancer histology generated by adversarial networks

Published:2021-02-09 Issue: Volume: Page:
ISSN:0022-3417
Container-title:The Journal of Pathology
language:en
Short-container-title:J. Pathol.

Author:

Krause Jeremias¹,Grabsch Heike I.²³,Kloor Matthias⁴,Jendrusch Michael⁴,Echle Amelie¹,Buelow Roman David⁵,Boor Peter⁵,Luedde Tom⁶,Brinker Titus J.⁷,Trautwein Christian¹,Pearson Alexander T.⁸,Quirke Philip³,Jenniskens Josien⁹^ORCID,Offermans Kelly⁹,Brandt Piet A.⁹,Kather Jakob Nikolas¹³¹⁰^ORCID

Affiliation:

1. Department of Medicine III University Hospital RWTH Aachen Aachen Germany

2. Department of Pathology GROW School for Oncology and Developmental Biology, , Maastricht University Medical Center+, Maastricht The Netherlands

3. Pathology & Data Analytics, Leeds Institute of Medical Research at St James's University of Leeds Leeds UK

4. Institute of Pathology University Hospital Heidelberg Heidelberg Germany

5. Institute of Pathology University Hospital RWTH Aachen Aachen Germany

6. Department of Gastroenterology, Hepatology and Infectious Diseases University Hospital Duesseldorf Duesseldorf Germany

7. Digital Biomarkers for Oncology Group (DBO), National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg Germany

8. Department of Medicine University of Chicago Medicine Chicago IL USA

9. Department of Epidemiology Maastricht University Medical Center+ Maastricht The Netherlands

10. Medical Oncology, National Center for Tumor Diseases (NCT) University Hospital Heidelberg Heidelberg Germany

Publisher

Wiley

Subject

Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/path.5638

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