LyROI – nnU-Net-based Lymphoma Total Metabolic Tumor Volume Segmentation

DOI

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

Identifier
DOI https://doi.org/10.14278/rodare.4161
Related Identifier IsIdenticalTo https://www.hzdr.de/publications/Publ-42318
Related Identifier IsReferencedBy https://www.hzdr.de/publications/Publ-42236
Related Identifier IsSupplementTo https://github.com/hzdr-MedImaging/LyROI
Related Identifier IsPartOf https://doi.org/10.14278/rodare.4160
Related Identifier IsPartOf https://rodare.hzdr.de/communities/health
Related Identifier IsPartOf https://rodare.hzdr.de/communities/pet-center
Related Identifier IsPartOf https://rodare.hzdr.de/communities/rodare
Related Identifier IsPartOf https://rodare.hzdr.de/communities/zrt
Metadata Access https://rodare.hzdr.de/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:rodare.hzdr.de:4161
Provenance
Creator Nikulin, Pavel ORCID logo; Hoberück, Sebastian; Apostolova, Ivayla; Maus, Jens ORCID logo; Hüttmann, Andreas; Dührsen, Ulrich; Kroschinsky, Frank; Kotzerke, Jörg; von Bonin, Malte; Bundschuh, Ralph; Braune, Anja ORCID logo; Hofheinz, Frank ORCID logo
Publisher Rodare
Publication Year 2025
Rights Closed Access; info:eu-repo/semantics/closedAccess
OpenAccess false
Contact https://rodare.hzdr.de/support
Representation
Resource Type Software
Version 1.0.0
Discipline Life Sciences; Natural Sciences; Engineering Sciences