Software Open Access

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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    <dct:description>&lt;p&gt;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 [&lt;sup&gt;18&lt;/sup&gt;F]FDG-PET/CT scans from 716 patients with Non-Hodgkin&amp;nbsp;lymphoma participating in the &lt;a href="https://doi.org/10.1200/jco.2017.76.8093"&gt;PETAL&lt;/a&gt; trial.&lt;/p&gt; &lt;p&gt;For installation and usage instructions, please visit &lt;a href="http://github.com/hzdr-MedImaging/LyROI"&gt;https://github.com/hzdr-MedImaging/LyROI&lt;/a&gt;&lt;/p&gt; &lt;p&gt;Please cite&amp;nbsp;&lt;a href="https://www.nature.com/articles/s41592-020-01008-z"&gt;nnU-Net&lt;/a&gt;&amp;nbsp;and the respective paper when using LyROI.&lt;/p&gt;</dct:description>
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Publication date:
November 26, 2025
DOI:
10.14278/rodare.4177

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Keyword(s):
FDG PET Total Metabolic Tumor Volume TMTV Non-Hodgkin Lymphoma Convolutional Neural Network Delineation
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https://www.hzdr.de/publications/Publ-42318
Referenced by:
https://www.hzdr.de/publications/Publ-42236
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https://github.com/hzdr-MedImaging/LyROI
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Version 1.0.1 10.14278/rodare.4177 Nov 26, 2025
Version 1.0.0 10.14278/rodare.4161 Nov 26, 2025
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