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Fuzzy clustering for segmantation of 1st trimester ultrasound fetal images

dc.contributor.authorIgrejas, Getúlio
dc.contributor.authorSalgado, Paulo
dc.contributor.authorCouto, Carlos
dc.date.accessioned2014-10-28T11:28:03Z
dc.date.available2014-10-28T11:28:03Z
dc.date.issued2011
dc.description.abstractThe work herein presented is a part of a broader set of tasks included in a PhD thesis which main objective is to develop an automatic measurement system for the crown-rump, nuchal translucency and biparietal measurements in ultrasound fetal images. These measurements are of extreme importance to evaluate the possible abnormal conditions of the fetus, namely chromosomal anomalies like Down’s syndrome, also known as Trisomy 21. To achieve this objective the task of segmentation, which consists inidentifying the relevant objects/structures in the ultrasound images and separate them from the non relevant ones, is of utmost importance. In this work different fuzzy clustering approaches for segmenting 1st trimester ultrasound fetal images are presented and applied for the crown-rump measurement. Results are compared with other methodologies to evaluate their performance.por
dc.identifier.citationIgrejas, Getúlio; Salgado, Paulo; Couto, Carlos (2011). Fuzzy clustering for segmantation of 1st trimester ultrasound fetal image. In Semana da Escola de Engenharia da Universidade do Minho. Guimarães. ISBN 978-972-8692-61-2por
dc.identifier.isbn978-972-8692-61-2
dc.identifier.urihttp://hdl.handle.net/10198/11104
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherUniversidade do Minhopor
dc.subjectFuzzy clusteringpor
dc.subjectSegmentationpor
dc.subjectUltrasound imagespor
dc.titleFuzzy clustering for segmantation of 1st trimester ultrasound fetal imagespor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceGuimarãespor
oaire.citation.titleSemana da Escola de Engenharia da Universidade do Minhopor
person.familyNameIgrejas
person.givenNameGetúlio
person.identifier.orcid0000-0002-6820-8858
person.identifier.ridM-8571-2013
person.identifier.scopus-author-id47761255900
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationab4092ec-d1b1-4fe0-b65a-efba1310fd5a
relation.isAuthorOfPublication.latestForDiscoveryab4092ec-d1b1-4fe0-b65a-efba1310fd5a

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