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Please use this identifier to cite or link to this item: https://accedacris.ulpgc.es/handle/10553/54912
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dc.contributor.authorCarballal, Adrian
dc.contributor.authorNovoa, Francisco J.
dc.contributor.authorFernandez-Lozano, Carlos
dc.contributor.authorGarcía-Guimaraes, Marcos
dc.contributor.authorAldama-López, Guillermo
dc.contributor.authorCalviño-Santos, Ramón
dc.contributor.authorVazquez-Rodriguez, José Manuel
dc.contributor.authorPazos, Alejandro
dc.date.accessioned2019-02-18T15:38:53Z-
dc.date.available2019-02-18T15:38:53Z-
dc.date.issued2018
dc.identifier.issn1746-8094
dc.identifier.urihttps://accedacris.ulpgc.es/handle/10553/54912-
dc.publisher1746-8094
dc.relation.ispartofBiomedical Signal Processing and Control
dc.sourceBiomedical Signal Processing and Control[ISSN 1746-8094],v. 46, p. 1-9
dc.titleAutomatic multiscale vascular image segmentation algorithm for coronary angiography
dc.typeinfo:eu-repo/semantics/article
dc.typeArticle
dc.identifier.doi10.1016/j.bspc.2018.06.007
dc.identifier.scopus85049482367
dc.contributor.authorscopusid37123541900
dc.contributor.authorscopusid16837150200
dc.contributor.authorscopusid55062924200
dc.contributor.authorscopusid55489611100
dc.contributor.authorscopusid16642072500
dc.contributor.authorscopusid8341939900
dc.contributor.authorscopusid7006661660
dc.contributor.authorscopusid7006526793
dc.description.lastpage9
dc.description.firstpage1
dc.relation.volume46
dc.type2Artículo
dc.identifier.ulpgcSíes
dc.description.sjr0,711
dc.description.jcr2,943
dc.description.sjrqQ2
dc.description.jcrqQ2
dc.description.scieSCIE
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR IUIBS: Diabetes y endocrinología aplicada-
crisitem.author.deptIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.orcid0000-0003-3629-8120-
crisitem.author.parentorgIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.fullNameNovoa Mogollón,Francisco-
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