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Deep learning-based auto-delineation of gross tumour volumes and involved nodes in PET/CT images of head and neck cancer patients

dc.contributor.authorMoe, Yngve Mardal
dc.contributor.authorGrøndahl, Aurora Rosvoll
dc.contributor.authorTomic, Oliver
dc.contributor.authorDale, Einar
dc.contributor.authorMalinen, Eirik
dc.contributor.authorFutsæther, Cecilia Marie
dc.date.accessioned2022-03-10T09:34:39Z
dc.date.available2022-03-10T09:34:39Z
dc.date.created2021-05-31T14:21:05Z
dc.date.issued2021
dc.identifier.citationEuropean Journal of Nuclear Medicine and Molecular Imaging. 2021, 48 2782-2792.
dc.identifier.issn1619-7070
dc.identifier.urihttps://hdl.handle.net/11250/2984180
dc.language.isoeng
dc.titleDeep learning-based auto-delineation of gross tumour volumes and involved nodes in PET/CT images of head and neck cancer patients
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber2782-2792
dc.source.volume48
dc.source.journalEuropean Journal of Nuclear Medicine and Molecular Imaging
dc.identifier.doi10.1007/s00259-020-05125-x
dc.identifier.cristin1912876
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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