Deep learning approach to predict lymph node metastasis directly from primary tumour histology in prostate cancer期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

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Deep learning approach to predict lymph node metastasis directly from primary tumour histology in prostate cancer

Authors:	Frederik Wessels Max Schmitt Eva Krieghoff-Henning Tanja Jutzi Thomas S Worst Frank Waldbillig Manuel Neuberger Roman C Maron Matthias Steeg Timo Gaiser Achim Hekler Jochen S Utikal Christof von Kalle Stefan Fröhling Maurice S Michel Philipp Nuhn Titus J Brinker

Institution:	1. Digital Biomarkers for Oncology Group, National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany;2. Department of Urology and Urological Surgery, Medical Faculty Mannheim of Heidelberg University, University Medical Center Mannheim, Mannheim, Germany;3. Institute of Pathology, Medical Faculty Mannheim of Heidelberg University, University Medical Center Mannheim, Mannheim, Germany;4. Skin Cancer Unit, German Cancer Research Center (DKFZ), Heidelberg, Germany Department of Dermatology, Venereology and Allergology, University Medical Center Mannheim, University of Heidelberg, Heidelberg, Germany;5. Department of Clinical-Translational Sciences, Berlin Institute of Health (BIH), Charité University Medicine, Berlin, Germany;6. National Center for Tumor Diseases, German Cancer Research Center, Heidelberg, Germany

Abstract:

Keywords:	prostatic neoplasms machine learning deep learning artificial intelligence convolutional neural network neoplasm metastasis #ProstateCancer #PCSM #uroonc