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Computer-aided detection and segmentation of malignant melanoma lesions on whole-body F-18-FDG PET/CT using an interpretable deep learning approach
dc.contributor.author | Dirks, Ine | |
dc.contributor.author | Keyaerts, Marleen | |
dc.contributor.author | Neyns, Bart | |
dc.contributor.author | Vandemeulebroucke, Jef | |
dc.date.accessioned | 2022-06-23T02:25:39Z | |
dc.date.available | 2022-06-23T02:25:39Z | |
dc.date.issued | 2022-JUN | |
dc.identifier.issn | 0169-2607 | |
dc.identifier.other | WOS:000807771600005 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/40004 | |
dc.source | WOS | |
dc.title | Computer-aided detection and segmentation of malignant melanoma lesions on whole-body F-18-FDG PET/CT using an interpretable deep learning approach | |
dc.type | Journal article | |
dc.contributor.imecauthor | Dirks, Ine | |
dc.contributor.imecauthor | Vandemeulebroucke, Jef | |
dc.contributor.orcidimec | Vandemeulebroucke, Jef::0000-0001-5714-3254 | |
dc.identifier.doi | 10.1016/j.cmpb.2022.106902 | |
dc.source.numberofpages | 9 | |
dc.source.peerreview | yes | |
dc.source.journal | COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | |
dc.identifier.pmid | MEDLINE:35636357 | |
dc.source.volume | 221 | |
imec.availability | Under review |
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