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Dirk Olaf Bauerschlag
Universitätsfrauenklinik Aachen
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SCHOLARLY PAPERS
1
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Scholarly Papers (1)
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1.
Deep Learning to Predict Breast Cancer Sentinel Lymph Node Status on Insema Histological Images
Number of pages: 15
Posted: 26 Sep 2023
Frederik Marmé
,
Eva Isabelle Krieghoff-Henning
,
Bernd Gerber
,
Max Schmitt
,
Dirk-Michael Zahm
, Dirk Olaf Bauerschlag,
Helmut Forstbauer
,
Guido Hildebrandt
,
Beyhan Ataseven
,
Tobias Brodkorb
,
Carsten Denkert
,
Angrit Stachs
,
David Krug
,
Joerg Heil
,
Michael Golatta
,
Thorsten Kuehn
,
Valentina Nekljudova
,
Timo Gaiser
,
Rebecca Schönmehl
,
Christoph Brochhausen
,
Sibylle Loibl
,
Toralf Reimer
and
Titus Josef Brinker
University of Heidelberg - Department of Obstetrics and Gynaecology, Medical Faculty Mannheim, German Cancer Research Center (DKFZ) - Digital Biomarkers for Oncology Group, University Hospital of Rostock - Department of Obstetrics and Gynecology, German Cancer Research Center (DKFZ) - Digital Biomarkers for Oncology Group, SRH Waldklinikum Gera GmbH, Universitätsfrauenklinik Aachen, GOSPL - Gesellschaft für onkologische Studien, University Medicine Rostock - Department of Radiotherapy, Hebrew University of Jerusalem, University of Heidelberg - Department of Obstetrics and Gynaecology, Medical Faculty Mannheim, University of Marburg - Institute for Pathology, University Hospital of Rostock - Department of Obstetrics and Gynecology, Universitätsklinikum Schleswig-Holstein - Klinik für Strahlentherapie, Klinik St. Elisabeth - Brustzentrum Heidelberg, Klinik St. Elisabeth - Brustzentrum Heidelberg, Klinikum Esslingen, German Breast Group (GBG Forschungs GmbH), University of Heidelberg - Institute of Pathology, Medical Faculty Mannheim, University of Heidelberg - Institute of Pathology, Medical Faculty Mannheim, University of Heidelberg - Institute of Pathology, Medical Faculty Mannheim, German Breast Group (GBG Forschungs GmbH), University Hospital of Rostock - Department of Obstetrics and Gynecology and German Cancer Research Center (DKFZ) - Digital Biomarkers for Oncology Group
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Abstract:
Sentinel, lymph node status, deep learning, breast cancer, digital biomarker
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