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
{
"license": "https://creativecommons.org/licenses/by-sa/4.0/legalcode",
"identifier": "https://doi.org/10.14278/rodare.4177",
"keywords": [
"FDG PET",
"Total Metabolic Tumor Volume",
"TMTV",
"Non-Hodgkin Lymphoma",
"Convolutional Neural Network",
"Delineation"
],
"url": "https://rodare.hzdr.de/record/4177",
"version": "1.0.1",
"@context": "https://schema.org/",
"sameAs": [
"https://www.hzdr.de/publications/Publ-42318"
],
"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>",
"creator": [
{
"affiliation": "Department of Positron Emission Tomography, Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany",
"@type": "Person",
"@id": "https://orcid.org/0000-0002-4568-4018",
"name": "Nikulin, Pavel"
},
{
"affiliation": "Department of Nuclear Medicine, University Hospital Carl Gustav Carus, Technische Universit\u00e4t Dresden, Dresden, Germany",
"@type": "Person",
"name": "Hober\u00fcck, Sebastian"
},
{
"affiliation": "Department for Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany",
"@type": "Person",
"name": "Apostolova, Ivayla"
},
{
"affiliation": "Department of Positron Emission Tomography, Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany",
"@type": "Person",
"@id": "https://orcid.org/0000-0002-7195-9927",
"name": "Maus, Jens"
},
{
"affiliation": "Department of Hematology, West German Cancer Center, University Hospital Essen, University of Duisburg-Essen, Essen, Germany",
"@type": "Person",
"name": "H\u00fcttmann, Andreas"
},
{
"affiliation": "Department of Hematology, West German Cancer Center, University Hospital Essen, University of Duisburg-Essen, Essen, Germany",
"@type": "Person",
"name": "D\u00fchrsen, Ulrich"
},
{
"affiliation": "Medical Department I, Dresden University Hospital, Dresden, Germany",
"@type": "Person",
"name": "Kroschinsky, Frank"
},
{
"affiliation": "Department of Nuclear Medicine, University Hospital Carl Gustav Carus, Technische Universit\u00e4t Dresden, Dresden, Germany",
"@type": "Person",
"name": "Kotzerke, J\u00f6rg"
},
{
"affiliation": "Medical Department I, Dresden University Hospital, Dresden, Germany",
"@type": "Person",
"name": "von Bonin, Malte"
},
{
"affiliation": "Department of Nuclear Medicine, University Hospital Carl Gustav Carus, Technische Universit\u00e4t Dresden, Dresden, Germany",
"@type": "Person",
"name": "Bundschuh, Ralph"
},
{
"affiliation": "Department of Positron Emission Tomography, Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany",
"@type": "Person",
"@id": "https://orcid.org/0000-0001-7707-9413",
"name": "Braune, Anja"
},
{
"affiliation": "Department of Positron Emission Tomography, Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany",
"@type": "Person",
"@id": "https://orcid.org/0000-0001-8016-4643",
"name": "Hofheinz, Frank"
}
],
"datePublished": "2025-11-26",
"@id": "https://doi.org/10.14278/rodare.4177",
"codeRepository": "https://github.com/hzdr-MedImaging/LyROI",
"name": "LyROI \u2013 nnU-Net-based Lymphoma Total Metabolic Tumor Volume Segmentation",
"@type": "SoftwareSourceCode"
}
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