Deep learning-based auto-delineation of gross tumour volumes and involved nodes in PET/CT images of head and neck cancer patients
dc.contributor.author | Moe, Yngve Mardal | |
dc.contributor.author | Grøndahl, Aurora Rosvoll | |
dc.contributor.author | Tomic, Oliver | |
dc.contributor.author | Dale, Einar | |
dc.contributor.author | Malinen, Eirik | |
dc.contributor.author | Futsæther, Cecilia Marie | |
dc.date.accessioned | 2022-03-10T09:34:39Z | |
dc.date.available | 2022-03-10T09:34:39Z | |
dc.date.created | 2021-05-31T14:21:05Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | European Journal of Nuclear Medicine and Molecular Imaging. 2021, 48 2782-2792. | |
dc.identifier.issn | 1619-7070 | |
dc.identifier.uri | https://hdl.handle.net/11250/2984180 | |
dc.language.iso | eng | |
dc.title | Deep learning-based auto-delineation of gross tumour volumes and involved nodes in PET/CT images of head and neck cancer patients | |
dc.type | Peer reviewed | |
dc.type | Journal article | |
dc.description.version | publishedVersion | |
dc.source.pagenumber | 2782-2792 | |
dc.source.volume | 48 | |
dc.source.journal | European Journal of Nuclear Medicine and Molecular Imaging | |
dc.identifier.doi | 10.1007/s00259-020-05125-x | |
dc.identifier.cristin | 1912876 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 2 |