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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46192
DC FieldValueLanguage
dc.contributor.authorAlemán-Flores, Miguelen_US
dc.contributor.authorAlvarez, Len_US
dc.contributor.authorAlemán-Flores, Patriciaen_US
dc.contributor.authorFuentes-Pavón, Rafaelen_US
dc.date.accessioned2018-11-23T02:11:56Z-
dc.date.available2018-11-23T02:11:56Z-
dc.date.issued2011en_US
dc.identifier.isbn978-1-4673-0431-3en_US
dc.identifier.isbn9780769546353
dc.identifier.urihttp://hdl.handle.net/10553/46192-
dc.description.abstractThe analysis of medical images, such as Computed Tomography (CT) Images, increasingly requires an automatic processing for region enhancement, segmentation, 3D reconstruction and many other purposes. This paper presents a framework for performing these tasks using partial differential equations in 3D images. From a set of partial differential equations, we obtain a method for noise reduction filtering with edge preservation, region enhancement through the discrimination of the relevant density values, contour refinement and 3D reconstruction.en_US
dc.languageengen_US
dc.sourceProceedings - 7th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2011 (6120671), p. 345-349en_US
dc.subject220990 Tratamiento digital. Imágenesen_US
dc.subject32 Ciencias médicasen_US
dc.subject120601 Construcción de algoritmosen_US
dc.subject120602 Ecuaciones diferencialesen_US
dc.subject120326 Simulaciónen_US
dc.subject.otherComputed tomographyen_US
dc.subject.otherPartial differential equationsen_US
dc.subject.otherSegmentationen_US
dc.titleSegmentation of computed tomography 3D images using partial differential equationsen_US
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.typeConferenceObjectes
dc.relation.conference7th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2011
dc.identifier.doi10.1109/SITIS.2011.38
dc.identifier.scopus84855914375-
dc.contributor.authorscopusid55892084700-
dc.contributor.authorscopusid55640159000-
dc.contributor.authorscopusid23471848200-
dc.contributor.authorscopusid22334332300-
dc.description.lastpage349-
dc.identifier.issue6120671-
dc.description.firstpage345-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.date.coverdateDiciembre 2011
dc.identifier.conferenceidevents121423
dc.identifier.ulpgcSíes
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.event.eventsstartdate28-11-2011-
crisitem.event.eventsenddate01-12-2011-
crisitem.author.deptGIR IUCES: Centro de Tecnologías de la Imagen-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR Modelos Matemáticos-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0002-9258-0086-
crisitem.author.orcid0000-0002-6953-9587-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgDepartamento de Informática y Sistemas-
crisitem.author.fullNameAlemán Flores, Miguel-
crisitem.author.fullNameÁlvarez León, Luis Miguel-
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