Publication:

Non-destructive internal disorder detection of Conference pears by semantic segmentation of X-ray CT scans using deep learning

Date

2021
Journal article
https://doi.org/10.1016/j.eswa.2021.114925
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dc.contributor.authorVan de Looverbosch, Tim
dc.contributor.authorRaeymaekers, Ellen
dc.contributor.authorVerboven, Pieter
dc.contributor.authorSijbers, Jan
dc.contributor.authorNicolai, Bart
dc.contributor.imecauthorSijbers, Jan
dc.contributor.orcidextVan de Looverbosch, Tim::0000-0002-3065-1395
dc.contributor.orcidextRaeymaekers, Ellen::0000-0002-2272-6799
dc.contributor.orcidextVerboven, Pieter::0000-0001-9542-8285
dc.contributor.orcidimecSijbers, Jan::0000-0003-4225-2487
dc.date.accessioned2022-02-23T15:20:39Z
dc.date.available2022-02-23T15:20:39Z
dc.date.issued2021
dc.identifier.doi10.1016/j.eswa.2021.114925
dc.identifier.issn0957-4174
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/39059
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.source.beginpage114925
dc.source.issuena
dc.source.journalEXPERT SYSTEMS WITH APPLICATIONS
dc.source.numberofpages12
dc.source.volume176
dc.subject.keywordsFRUIT
dc.title

Non-destructive internal disorder detection of Conference pears by semantic segmentation of X-ray CT scans using deep learning

dc.typeJournal article
dspace.entity.typePublication
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