November 26, 2025 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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  <dc:creator>Nikulin, Pavel</dc:creator>
  <dc:creator>Hoberück, Sebastian</dc:creator>
  <dc:creator>Apostolova, Ivayla</dc:creator>
  <dc:creator>Maus, Jens</dc:creator>
  <dc:creator>Hüttmann, Andreas</dc:creator>
  <dc:creator>Dührsen, Ulrich</dc:creator>
  <dc:creator>Kroschinsky, Frank</dc:creator>
  <dc:creator>Kotzerke, Jörg</dc:creator>
  <dc:creator>von Bonin, Malte</dc:creator>
  <dc:creator>Bundschuh, Ralph</dc:creator>
  <dc:creator>Braune, Anja</dc:creator>
  <dc:creator>Hofheinz, Frank</dc:creator>
  <dc:date>2025-11-26</dc:date>
  <dc:description>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 [18F]FDG-PET/CT scans from 716 patients with Non-Hodgkin lymphoma participating in the PETAL trial.

For installation and usage instructions, please visit https://github.com/hzdr-MedImaging/LyROI

Please cite nnU-Net and the respective paper when using LyROI.</dc:description>
  <dc:identifier>https://rodare.hzdr.de/record/4177</dc:identifier>
  <dc:identifier>10.14278/rodare.4177</dc:identifier>
  <dc:identifier>oai:rodare.hzdr.de:4177</dc:identifier>
  <dc:relation>url:https://www.hzdr.de/publications/Publ-42318</dc:relation>
  <dc:relation>url:https://www.hzdr.de/publications/Publ-42236</dc:relation>
  <dc:relation>url:https://github.com/hzdr-MedImaging/LyROI</dc:relation>
  <dc:relation>doi:10.14278/rodare.4160</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/communities/health</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/communities/pet-center</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/communities/zrt</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-sa/4.0/legalcode</dc:rights>
  <dc:subject>FDG PET</dc:subject>
  <dc:subject>Total Metabolic Tumor Volume</dc:subject>
  <dc:subject>TMTV</dc:subject>
  <dc:subject>Non-Hodgkin Lymphoma</dc:subject>
  <dc:subject>Convolutional Neural Network</dc:subject>
  <dc:subject>Delineation</dc:subject>
  <dc:title>LyROI – nnU-Net-based Lymphoma Total Metabolic Tumor Volume Segmentation</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>software</dc:type>
</oai_dc:dc>