Dataset Open Access

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

Starke, Sebastian; Leger, Stefan; Zwanenburg, Alex; Leger, Karoline; Lohaus, Fabian; Linge, Annett; Schreiber, Andreas; Kalinauskaite, Goda; Tinhofer, Inge; Guberina, Nika; Guberina, Maja; Balermpas, Panagiotis; Grün, Jens von der; Ganswindt, Ute; Belka, Claus; Peeken, Jan C.; Combs, Stephanie E.; Böke, Simon; Zips, Daniel; Richter, Christian; Troost, Esther Gera Cornelia; Krause, Mechthild; Baumann, Michael; Löck, Steffen


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    "title": "2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma", 
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    "keywords": [
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      "Keras", 
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      "head and neck cancer", 
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      "Cox proportional hazards"
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        "affiliation": "Helmholtz-Zentrum Dresden - Rossendorf (HZDR)", 
        "name": "Starke, Sebastian"
      }, 
      {
        "affiliation": "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 Universit\u00e4t Dresden, Dresden, Germany, and; Helmholtz Association / Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany", 
        "name": "Leger, Stefan"
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        "affiliation": "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 Universit\u00e4t Dresden, Dresden, Germany, and; Helmholtz Association / Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany", 
        "name": "Zwanenburg, Alex"
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        "affiliation": "Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universit\u00e4t Dresden, Germany", 
        "name": "Leger, Karoline"
      }, 
      {
        "affiliation": "Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universit\u00e4t Dresden, Germany", 
        "name": "Lohaus, Fabian"
      }, 
      {
        "affiliation": "Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universit\u00e4t Dresden, Germany", 
        "name": "Linge, Annett"
      }, 
      {
        "affiliation": "Department of Radiotherapy, Hospital Dresden-Friedrichstadt, Dresden, Germany", 
        "name": "Schreiber, Andreas"
      }, 
      {
        "affiliation": "Department of Radiooncology and Radiotherapy, Charit\u00e9 University Hospital, Berlin, Germany", 
        "name": "Kalinauskaite, Goda"
      }, 
      {
        "affiliation": "Department of Radiooncology and Radiotherapy, Charit\u00e9 University Hospital, Berlin, Germany", 
        "name": "Tinhofer, Inge"
      }, 
      {
        "affiliation": "Department of Radiotherapy, Medical Faculty, University of Duisburg-Essen, Essen, Germany", 
        "name": "Guberina, Nika"
      }, 
      {
        "affiliation": "Department of Radiotherapy, Medical Faculty, University of Duisburg-Essen, Essen, Germany", 
        "name": "Guberina, Maja"
      }, 
      {
        "affiliation": "Department of Radiotherapy and Oncology, Goethe-University Frankfurt, Germany", 
        "name": "Balermpas, Panagiotis"
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      {
        "affiliation": "Department of Radiotherapy and Oncology, Goethe-University Frankfurt, Germany", 
        "name": "Gr\u00fcn, Jens von der"
      }, 
      {
        "affiliation": "Department of Radiation Oncology, Ludwig-Maximilians-Universit\u00e4t, Munich, Germany", 
        "name": "Ganswindt, Ute"
      }, 
      {
        "affiliation": "Department of Radiation Oncology, Ludwig-Maximilians-Universit\u00e4t, Munich, Germany", 
        "name": "Belka, Claus"
      }, 
      {
        "affiliation": "Department of Radiation Oncology, Technische Universit\u00e4t M\u00fcnchen, Germany", 
        "name": "Peeken, Jan C."
      }, 
      {
        "affiliation": "Department of Radiation Oncology, Technische Universit\u00e4t M\u00fcnchen, Germany", 
        "name": "Combs, Stephanie E."
      }, 
      {
        "affiliation": "Department of Radiation Oncology, Faculty of Medicine and University Hospital T\u00fcbingen, Eberhard Karls Universit\u00e4t T\u00fcbingen, Germany", 
        "name": "B\u00f6ke, Simon"
      }, 
      {
        "affiliation": "Department of Radiation Oncology, Faculty of Medicine and University Hospital T\u00fcbingen, Eberhard Karls Universit\u00e4t T\u00fcbingen, Germany", 
        "name": "Zips, Daniel"
      }, 
      {
        "orcid": "0000-0003-4261-4214", 
        "affiliation": "Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universit\u00e4t Dresden, Germany", 
        "name": "Richter, Christian"
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        "orcid": "0000-0001-9550-9050", 
        "affiliation": "Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universit\u00e4t Dresden, Germany", 
        "name": "Troost, Esther Gera Cornelia"
      }, 
      {
        "orcid": "0000-0003-1776-9556", 
        "affiliation": "Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universit\u00e4t Dresden, Germany", 
        "name": "Krause, Mechthild"
      }, 
      {
        "affiliation": "German Cancer Research Center (DKFZ), Heidelberg, Germany", 
        "name": "Baumann, Michael"
      }, 
      {
        "affiliation": "Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universit\u00e4t Dresden, Germany", 
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    "description": "<p>These are the results from the analyses presented in a paper submitted to Scientific Reports.</p>\n\n<p>The zip file contains the trained model files and the plots that were used in the manuscript.</p>\n\n<p>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.</p>", 
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