Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52824
DC FieldValueLanguage
dc.contributor.authorAleman-Flores, Miguelen_US
dc.contributor.authorAlvarez, Luisen_US
dc.contributor.authorCaselles, Vicenten_US
dc.contributor.otherAleman-Flores, Miguel-
dc.contributor.otherAlvarez, Luis-
dc.date.accessioned2019-02-04T13:54:02Z-
dc.date.available2019-02-04T13:54:02Z-
dc.date.issued2008en_US
dc.identifier.isbn978-3-540-71991-5-
dc.identifier.issn1612-3956en_US
dc.identifier.urihttp://hdl.handle.net/10553/52824-
dc.description.abstractThis work presents a method for the segmentation of breast nodules in ultrasonography. Speckle noise is reduced using an anisotropic filter for which texture is described using Gabor filters. Afterwards, an initial segmentation is extracted using a front propagation scheme. Finally, the initial segmentation is refined using active contours. In order to delimit the nodules not only by means of image intensity, but also by texture pattern, we introduce certain terms in the classical active contours equations.
dc.languageengen_US
dc.publisher1612-3956-
dc.relation.ispartofProgress In Industrial Mathematics At Ecmi 2006en_US
dc.sourceProgress In Industrial Mathematics At Ecmi 2006[ISSN 1612-3956],v. 12, p. 858-+en_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.titleBreast nodule ultrasound segmentation through texture-based active contoursen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference14th European Conference for Mathematics in Industry
dc.identifier.isi000252461300149-
dcterms.isPartOfProgress In Industrial Mathematics At Ecmi 2006-
dcterms.sourceProgress In Industrial Mathematics At Ecmi 2006[ISSN 1612-3956],v. 12, p. 858-+-
dc.description.lastpage+-
dc.description.firstpage858-
dc.relation.volume12-
dc.type2Actas de congresosen_US
dc.identifier.wosWOS:000252461300149-
dc.contributor.daisngid1833913-
dc.contributor.daisngid478566-
dc.contributor.daisngid67729-
dc.identifier.investigatorRIDK-6659-2014-
dc.identifier.investigatorRIDA-9190-2009-
dc.identifier.externalWOS:000252461300149-
dc.identifier.externalWOS:000252461300149-
dc.contributor.wosstandardWOS:Aleman-Flores, M
dc.contributor.wosstandardWOS:Alvarez, L
dc.contributor.wosstandardWOS:Caselles, V
dc.date.coverdate2008
dc.identifier.conferenceidevents120598
dc.identifier.ulpgces
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.event.eventsstartdate10-07-2006-
crisitem.event.eventsenddate14-07-2006-
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-
Appears in Collections:Actas de congresos
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