Software Open Access
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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"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",
"orcid": "0000-0002-7195-9927"
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"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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"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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"name": "Braune, Anja",
"affiliation": "Department of Positron Emission Tomography, Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, 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 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 <a href=\"https://www.nature.com/articles/s41592-020-01008-z\">nnU-Net</a> and the respective paper when using LyROI.</p>",
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