68MO Generalization of a deep learning model for HER2 status predictions on H&E-stained whole slide images derived from 3 neoadjuvant clinical studies

Annals of Oncology, vol. 33, pp. S572–S573

Authors 19

1. M. Hägele

   Berlin Institute for the Foundations of Learning and Data · Technische Universität Berlin

   Affiliation as printed

   Machine Learning Group, TU Berlin, BIFOLD – Berlin Institute for the Foundations of Learning and Data, Berlin, Germany

2. K-R Müller

   Korea University · Max Planck Institute for Informatics · Berlin Institute for the Foundations of Learning and Data

   Affiliation as printed

   Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea, Max-Planck-Institut für Informatik, Saarbrücken, BIFOLD – Berlin Institute for the Foundations of Learning and Data, Berlin, Germany

3. C. Denkert

   Philipps University of Marburg · Universitätsklinikum Gießen und Marburg

   Affiliation as printed

   Institut für Pathologie, Philipps Universität Marburg und Universitätsklinikum Marburg (UKGM), Marburg, Germany

4. A. Schneeweiss

   German Cancer Research Center · Heidelberg University · National Center for Tumor Diseases

   Affiliation as printed

   Nationales Centrum für Tumorerkrankungen, Universitätsklinikum und Deutsches Krebsforschungszentrum, Heidelberg, Germany

5. B.V. Sinn

   Charité - Universitätsmedizin Berlin

   Affiliation as printed

   Institut für Pathologie, Charité Berlin, Berlin, Germany

6. Michael Untch

   Helios Hospital Berlin-Buch

   Affiliation as printed

   Gynäkologie und Geburtshilfe, Helios Klinikum Berlin-Buch, Berlin, Germany

7. Marion van Mackelenbergh

   University Hospital Schleswig-Holstein

   Affiliation as printed

   Gynäkologie und Geburtshilfe, Universitätsklinikum Schleswig-Holstein, Kiel, Germany

8. C. Jackisch

   Sana Klinikum Offenbach

   Affiliation as printed

   Gynäkologie und Geburtshilfe, Sana Klinikum Offenbach, Offenbach am Main, Germany

9. V. Nekljudova

   German Breast Group

   Affiliation as printed

   Statistics, German Breast Group, Neu-Isenburg, Germany

10. T. Karn

    Goethe University Frankfurt · University Hospital Frankfurt

    Affiliation as printed

    Gynecology and Obstetrics / Breast Unit, Goethe University Hospital, Frankfurt am Main, Germany

11. Maximilian Alber

    Charité - Universitätsmedizin Berlin

    Affiliation as printed

    Institut für Pathologie, Charité Berlin, Aignostics GmbH, Berlin, Germany

12. F. Marmé

    Heidelberg University · Medizinische Fakultät Mannheim

    Affiliation as printed

    Medizinische Fakultät Mannheim, Universität Heidelberg, Universitätsfrauenklinik Mannheim, Mannheim, Germany

13. C. Schem

    Mammazentrum Hamburg

    Affiliation as printed

    Gynecology, Mammazentrum Hamburg, Hamburg, Germany

14. E. Stickeler Aachen Klinik für Gynäkologie und Geburtsmedizin

    Universitätsklinikum Aachen

    Affiliation as printed

    Klinik für Gynäkologie und Geburtsmedizin, Universitaetsklinikum Aachen (UKA), Aachen, Germany

15. P.A. Fasching

    Universitätsklinikum Erlangen

    Affiliation as printed

    Universitätsklinikum Erlangen, Erlangen, Germany

16. K.E. Weber

    German Breast Group

    Affiliation as printed

    Statistics, German Breast Group, Neu-Isenburg, Germany

17. B. Lederer

    German Breast Group

    Affiliation as printed

    Medicine and Research, German Breast Group, Neu-Isenburg, Germany

18. Sibylle Loibl

    German Breast Group

    Affiliation as printed

    Medicine and Research, German Breast Group, Neu-Isenburg, Germany

19. F Klauschen

    German Cancer Research Center · Berlin Institute for the Foundations of Learning and Data · Charité - Universitätsmedizin Berlin · Ludwig-Maximilians-Universität München

    Affiliation as printed

    BIFOLD – Berlin Institute for the Foundations of Learning and Data, Institut für Pathologie, Charité Berlin, Pathologie, LMU München, German Cancer Consortium (DKTK), Partner Site Berlin, German Cancer Research Center (DKFZ), Berlin Institute of Health, Berlin, Germany