Publication:

Semantic segmentation of plant roots from RGB (mini-) rhizotron images-generalisation potential and false positives of established methods and advanced deep-learning models

Date

2023
Journal article
https://doi.org/10.1186/s13007-023-01101-2
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dc.contributor.authorBaykalov, Pavel
dc.contributor.authorBussmann, Bart
dc.contributor.authorNair, Richard
dc.contributor.authorSmith, Abraham George
dc.contributor.authorBodner, Gernot
dc.contributor.authorHadar, Ofer
dc.contributor.authorLazarovitch, Naftali
dc.contributor.authorRewald, Boris
dc.contributor.imecauthorBussmann, Bart
dc.contributor.orcidimecBussmann, Bart::0000-0002-2356-1973
dc.date.accessioned2024-04-22T09:34:04Z
dc.date.available2023-11-29T16:59:33Z
dc.date.available2024-04-22T09:34:04Z
dc.date.embargo2023-11-06
dc.date.issued2023
dc.description.wosFundingTextThe authors thank Adam Soffer, Ben-Gurion University of the Negev, Israel, for discussions on CNN approaches, and Oliver Hoi, BOKU, Austria, for help with root labelling. Two anonymous reviewers are thanked for their helpful comments.
dc.identifier.doi10.1186/s13007-023-01101-2
dc.identifier.issn1746-4811
dc.identifier.pmidMEDLINE:37932745
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/43199
dc.publisherBMC
dc.source.beginpageArt. 122
dc.source.endpageN/A
dc.source.issue1
dc.source.journalPLANT METHODS
dc.source.numberofpages15
dc.source.volume19
dc.subject.keywordsFINE ROOTS
dc.subject.keywordsARCHITECTURE
dc.subject.keywordsNETWORK
dc.subject.keywordsSOFTWARE
dc.title

Semantic segmentation of plant roots from RGB (mini-) rhizotron images-generalisation potential and false positives of established methods and advanced deep-learning models

dc.typeJournal article
dspace.entity.typePublication
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