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Dirk Olaf Bauerschlag

Universitätsfrauenklinik Aachen

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Scholarly Papers (1)

1.

Deep Learning to Predict Breast Cancer Sentinel Lymph Node Status on Insema Histological Images

Number of pages: 15 Posted: 26 Sep 2023
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:

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Sentinel, lymph node status, deep learning, breast cancer, digital biomarker