2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma

2026-07-13T23:29:33Z https://rodare.hzdr.de/oai2d

oai:rodare.hzdr.de:255 2024-07-18T06:56:26Z openaire_data user-health user-rodare

true 3.1 HZDR.RODARE 10.14278/rodare.255 Starke, Sebastian 0000-0001-5007-1868 Helmholtz-Zentrum Dresden - Rossendorf (HZDR) Leger, Stefan National Center for Tumor Diseases (NCT), Partner Site Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, and; Helmholtz Association / Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany Zwanenburg, Alex National Center for Tumor Diseases (NCT), Partner Site Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, and; Helmholtz Association / Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany Leger, Karoline Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany Lohaus, Fabian Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany Linge, Annett Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany Schreiber, Andreas Department of Radiotherapy, Hospital Dresden-Friedrichstadt, Dresden, Germany Kalinauskaite, Goda Department of Radiooncology and Radiotherapy, Charité University Hospital, Berlin, Germany Tinhofer, Inge Department of Radiooncology and Radiotherapy, Charité University Hospital, Berlin, Germany Guberina, Nika Department of Radiotherapy, Medical Faculty, University of Duisburg-Essen, Essen, Germany Guberina, Maja Department of Radiotherapy, Medical Faculty, University of Duisburg-Essen, Essen, Germany Balermpas, Panagiotis Department of Radiotherapy and Oncology, Goethe-University Frankfurt, Germany Grün, Jens von der Department of Radiotherapy and Oncology, Goethe-University Frankfurt, Germany Ganswindt, Ute Department of Radiation Oncology, Ludwig-Maximilians-Universität, Munich, Germany Belka, Claus Department of Radiation Oncology, Ludwig-Maximilians-Universität, Munich, Germany Peeken, Jan C. Department of Radiation Oncology, Technische Universität München, Germany Combs, Stephanie E. Department of Radiation Oncology, Technische Universität München, Germany Böke, Simon Department of Radiation Oncology, Faculty of Medicine and University Hospital Tübingen, Eberhard Karls Universität Tübingen, Germany Zips, Daniel Department of Radiation Oncology, Faculty of Medicine and University Hospital Tübingen, Eberhard Karls Universität Tübingen, Germany Richter, Christian 0000-0003-4261-4214 Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany Troost, Esther Gera Cornelia 0000-0001-9550-9050 Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany Krause, Mechthild 0000-0003-1776-9556 Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany Baumann, Michael German Cancer Research Center (DKFZ), Heidelberg, Germany Löck, Steffen Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany 2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma Rodare 2020 convolutional neural networks Keras Deep learning head and neck cancer loco-regional-recurrence Cox proportional hazards 2020-02-27 https://rodare.hzdr.de/record/255 10.1038/s41598-020-70542-9 https://www.hzdr.de/publications/Publ-30759 https://www.hzdr.de/publications/Publ-30750 https://www.hzdr.de/publications/Publ-39339 10.14278/rodare.254 https://rodare.hzdr.de/communities/health https://rodare.hzdr.de/communities/rodare Creative Commons Attribution Non Commercial 4.0 International Open Access These are the results from the analyses presented in a paper submitted to Scientific Reports. The zip file contains the trained model files and the plots that were used in the manuscript. Code for reproduction of our analyses can be obtained from https://github.com/oncoray/cnn-hnscc. There, you also find instructions on how to load our models.