Publication:

Supporting intraoperative margin assessment using deep learning for automatic tumour segmentation in breast lumpectomy micro-PET-CT

Date

2025-AUG 9
Journal article
https://doi.org/10.1038/s41523-025-00797-w
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cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid0000-0002-7865-6793
cris.virtualsource.department43fd6f27-126a-4a10-8c2e-2c15e86e4898
cris.virtualsource.orcid43fd6f27-126a-4a10-8c2e-2c15e86e4898
dc.contributor.authorMaris, Luna
dc.contributor.authorGoker, Menekse
dc.contributor.authorDe Man, Kathia
dc.contributor.authorVan den Broeck, Bliede
dc.contributor.authorVan Hoecke, Sofie
dc.contributor.authorVan de Vijver, Koen
dc.contributor.authorVanhove, Christian
dc.contributor.authorKeereman, Vincent
dc.contributor.imecauthorVan Hoecke, Sofie
dc.contributor.orcidimecVan Hoecke, Sofie::0000-0002-7865-6793
dc.date.accessioned2025-08-18T03:58:57Z
dc.date.available2025-08-18T03:58:57Z
dc.date.issued2025-AUG 9
dc.description.wosFundingTextThis project has received funding from VLAIO through a Baekeland mandate with project ID HBC.2022.0175. The funder played no role in study design, data collection, analysis and interpretation of data, or the writing of this manuscript.
dc.identifier.doi10.1038/s41523-025-00797-w
dc.identifier.issn2374-4677
dc.identifier.pmidMEDLINE:40783490
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/46091
dc.language.isoen
dc.publisherNATURE PORTFOLIO
dc.source.beginpage88
dc.source.issue1
dc.source.journalNPJ BREAST CANCER
dc.source.numberofpages12
dc.source.volume11
dc.subject.keywordsCONSERVING SURGERY
dc.subject.keywordsCARCINOMA
dc.subject.keywordsSPECIMENS
dc.subject.keywordsGUIDELINE
dc.subject.keywordsPROTOCOL
dc.title

Supporting intraoperative margin assessment using deep learning for automatic tumour segmentation in breast lumpectomy micro-PET-CT

dc.typeJournal article
dspace.entity.typePublication
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