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Sinchuk et al. Variational and Deep Learning Segmentation of Very-Low-Contrast X-ray Computed Tomography Images of Carbon/Epoxy Woven Composites

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2022
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https://doi.org/10.3390/ma15228168
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dc.contributor.authorSinchuk, Yuriy
dc.contributor.authorKibleur, Pierre
dc.contributor.authorAelterman, Jan
dc.contributor.authorBoone, Matthieu N.
dc.contributor.authorVan Paepegem, Wim
dc.contributor.imecauthorAelterman, Jan
dc.contributor.orcidimecAelterman, Jan::0000-0002-5543-2631
dc.date.accessioned2023-05-03T07:02:21Z
dc.date.available2022-12-05T03:07:40Z
dc.date.available2023-05-03T07:02:21Z
dc.date.embargo2022-11-17
dc.date.issued2022
dc.identifier.doi10.3390/ma15228168
dc.identifier.issn1996-1944
dc.identifier.pmidMEDLINE:36431762
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40827
dc.publisherMDPI
dc.source.beginpageArt. 8168
dc.source.endpagena
dc.source.issue22
dc.source.journalMATERIALS
dc.source.numberofpages2
dc.source.volume15
dc.title

Sinchuk et al. Variational and Deep Learning Segmentation of Very-Low-Contrast X-ray Computed Tomography Images of Carbon/Epoxy Woven Composites

dc.typeJournal article correction
dspace.entity.typePublication
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