Publication:

Computer-aided detection and segmentation of malignant melanoma lesions on whole-body F-18-FDG PET/CT using an interpretable deep learning approach

Date

2022
Journal article
https://doi.org/10.1016/j.cmpb.2022.106902
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dc.contributor.authorDirks, Ine
dc.contributor.authorKeyaerts, Marleen
dc.contributor.authorNeyns, Bart
dc.contributor.authorVandemeulebroucke, Jef
dc.contributor.imecauthorDirks, Ine
dc.contributor.imecauthorVandemeulebroucke, Jef
dc.contributor.orcidimecVandemeulebroucke, Jef::0000-0001-5714-3254
dc.date.accessioned2023-02-06T10:27:40Z
dc.date.available2022-06-23T02:25:39Z
dc.date.available2023-02-06T10:27:40Z
dc.date.embargo2022-06-30
dc.date.issued2022
dc.identifier.doi10.1016/j.cmpb.2022.106902
dc.identifier.issn0169-2607
dc.identifier.pmidMEDLINE:35636357
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40004
dc.publisherELSEVIER IRELAND LTD
dc.source.beginpage106902
dc.source.endpagena
dc.source.issuena
dc.source.journalCOMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
dc.source.numberofpages9
dc.source.volume221
dc.subject.keywordsPOSITRON-EMISSION-TOMOGRAPHY
dc.subject.keywordsAGREEMENT
dc.subject.keywordsVOLUME
dc.subject.keywordsLIVER
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.typeJournal article
dspace.entity.typePublication
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