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LyROI – nnU-Net-based Lymphoma Total Metabolic Tumor Volume Segmentation

Nikulin, Pavel; Hoberück, Sebastian; Apostolova, Ivayla; Maus, Jens; Hüttmann, Andreas; Dührsen, Ulrich; Kroschinsky, Frank; Kotzerke, Jörg; von Bonin, Malte; Bundschuh, Ralph; Braune, Anja; Hofheinz, Frank


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        "name": "Nikulin, Pavel", 
        "affiliation": "Department of Positron Emission Tomography, Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany", 
        "orcid": "0000-0002-4568-4018"
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        "affiliation": "Department of Nuclear Medicine, University Hospital Carl Gustav Carus, Technische Universit\u00e4t Dresden, Dresden, Germany"
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        "affiliation": "Department for Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany"
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        "affiliation": "Department of Positron Emission Tomography, Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany", 
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        "name": "H\u00fcttmann, Andreas", 
        "affiliation": "Department of Hematology, West German Cancer Center, University Hospital Essen, University of Duisburg-Essen, Essen, Germany"
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        "name": "D\u00fchrsen, Ulrich", 
        "affiliation": "Department of Hematology, West German Cancer Center, University Hospital Essen, University of Duisburg-Essen, Essen, Germany"
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        "affiliation": "Medical Department I, Dresden University Hospital, Dresden, Germany"
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        "name": "Kotzerke, J\u00f6rg", 
        "affiliation": "Department of Nuclear Medicine, University Hospital Carl Gustav Carus, Technische Universit\u00e4t Dresden, Dresden, Germany"
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        "affiliation": "Medical Department I, Dresden University Hospital, Dresden, Germany"
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        "affiliation": "Department of Nuclear Medicine, University Hospital Carl Gustav Carus, Technische Universit\u00e4t Dresden, Dresden, Germany"
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        "affiliation": "Department of Positron Emission Tomography, Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany", 
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    "title": "LyROI \u2013 nnU-Net-based Lymphoma Total Metabolic Tumor Volume Segmentation", 
    "description": "<p>Collection of neural network models for metabolic tumor volume segmentation in (Non-Hodgkin) lymphoma patients in FDG-PET/CT images. Intended to use within nnU-Net deep learning framework. Trained with a total of 1192 [<sup>18</sup>F]FDG-PET/CT scans from 716 patients with Non-Hodgkin&nbsp;lymphoma participating in the <a href=\"https://doi.org/10.1200/jco.2017.76.8093\">PETAL</a> trial.</p>\n\n<p>For installation and usage instructions, please visit <a href=\"http://github.com/hzdr-MedImaging/LyROI\">https://github.com/hzdr-MedImaging/LyROI</a></p>\n\n<p>Please cite&nbsp;<a href=\"https://www.nature.com/articles/s41592-020-01008-z\">nnU-Net</a>&nbsp;and the respective paper when using LyROI.</p>", 
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