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Semantic segmentation with DenseNets for carotid artery ultrasound plaque segmentation and CIMT estimation

dc.contributor.authorVila, María del Mar
dc.contributor.authorRemeseiro López, Beatriz 
dc.contributor.authorGrau, M.
dc.contributor.authorElosua, R.
dc.contributor.authorBetriu, À.
dc.contributor.authorFernández Giraldez, Elvira
dc.contributor.authorIgual, L.
dc.date.accessioned2020-06-26T07:57:30Z
dc.date.available2020-06-26T07:57:30Z
dc.date.issued2020
dc.identifier.citationArtificial Intelligence in Medicine, 103, p. 101784- (2020); doi:10.1016/j.artmed.2019.101784
dc.identifier.issn0933-3657
dc.identifier.urihttp://hdl.handle.net/10651/55403
dc.description.sponsorshipThis work was partially supported by the Spanish Ministry of Economy and Competitiveness through the Instituto de Salud Carlos III FEDER (CIBERCV and FIS CPII17/00012), the Spanish Ministry of the Economy and Competitiveness (TIN2015-65069-C2-2-R and TIN2015-66951-C2), the Principado de Asturias Regional Government (IDI-2018-000176), all grants through the ERDF; and the Catalan Agència de Gestió d’Ajuts Universitaris de Recerca (2017-SGR-222 and 2017-SGR1742).
dc.format.extentp. 101784-
dc.language.isoeng
dc.relation.ispartofArtificial Intelligence in Medicine, 103
dc.rights© 2020 Elsevier
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85077948224&doi=10.1016%2fj.artmed.2019.101784&partnerID=40&md5=23467c06407f9d02ce3d9836de30a3c5
dc.titleSemantic segmentation with DenseNets for carotid artery ultrasound plaque segmentation and CIMT estimation
dc.typejournal article
dc.identifier.doi10.1016/j.artmed.2019.101784
dc.relation.projectIDISCIII/FEDER/FIS CPII17/00012
dc.relation.projectIDMINECO/TIN2015-65069-C2-2-R
dc.relation.projectIDMINECO/TIN2015-66951-C2
dc.relation.projectIDIDI-2018-000176
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.artmed.2019.101784
dc.rights.accessRightsopen access
dc.type.hasVersionAM


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