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
{
"issued": {
"date-parts": [
[
2025,
11,
26
]
]
},
"id": "4177",
"abstract": "<p>Collection of neural network models for metabolic tumor volume delineation 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>\n\n<p> </p>\n\n<p>List of available models:</p>\n\n<ul>\n\t<li><code>LyROI_Orig.zip</code>: regular U-Net</li>\n\t<li><code>LyROI_ResM.zip</code>: residual encoder U-Net (medium)</li>\n\t<li><code>LyROI_ResL.zip</code>: residual encoder U-Net (large)</li>\n</ul>",
"DOI": "10.14278/rodare.4177",
"title": "LyROI \u2013 nnU-Net-based Lymphoma Total Metabolic Tumor Volume Delineation",
"type": "article",
"publisher": "Rodare",
"version": "1.0.1",
"author": [
{
"family": "Nikulin, Pavel"
},
{
"family": "Hober\u00fcck, Sebastian"
},
{
"family": "Apostolova, Ivayla"
},
{
"family": "Maus, Jens"
},
{
"family": "H\u00fcttmann, Andreas"
},
{
"family": "D\u00fchrsen, Ulrich"
},
{
"family": "Kroschinsky, Frank"
},
{
"family": "Kotzerke, J\u00f6rg"
},
{
"family": "von Bonin, Malte"
},
{
"family": "Bundschuh, Ralph"
},
{
"family": "Braune, Anja"
},
{
"family": "Hofheinz, Frank"
}
]
}
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