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Comparison of two-dimensional and three-dimensional u-net architectures for segmentation of adipose tissue in cardiac magnetic resonance images

dc.contributor.authorKulasekara, M.
dc.contributor.authorDinh, V. Q.
dc.contributor.authorFernández del Valle, María 
dc.contributor.authorKlingensmith, J. D.
dc.date.accessioned2022-11-08T12:43:18Z
dc.date.available2022-11-08T12:43:18Z
dc.date.issued2022
dc.identifier.citationMedical and Biological Engineering and Computing, 60(8), p. 2291-2306 (2022); doi:10.1007/s11517-022-02612-1
dc.identifier.issn0140-0118
dc.identifier.urihttp://hdl.handle.net/10651/65430
dc.description.sponsorshipNational Heart, Lung, and Blood Institute of the National Institutes of Health [R15HL145576]
dc.format.extentp. 2291-2306
dc.language.isoeng
dc.relation.ispartofMedical and Biological Engineering and Computing
dc.rights© Springer Nature
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85132157667&doi=10.1007%2fs11517-022-02612-1&partnerID=40&md5=01946fa9df41e96671586f5f0d0091dc
dc.titleComparison of two-dimensional and three-dimensional u-net architectures for segmentation of adipose tissue in cardiac magnetic resonance images
dc.typejournal article
dc.identifier.doi10.1007/s11517-022-02612-1
dc.relation.publisherversionhttp://dx.doi.org/10.1007/s11517-022-02612-1


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