Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/53086

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dc.contributor.authorVieira, Pedro Miguelpor
dc.contributor.authorGonçalves, Brunopor
dc.contributor.authorRolanda, Carlapor
dc.contributor.authorLima, C. S.por
dc.date.accessioned2018-03-21T14:12:40Z-
dc.date.issued2016-
dc.identifier.isbn9781457702204por
dc.identifier.issn1557-170X-
dc.identifier.urihttps://hdl.handle.net/1822/53086-
dc.description.abstractThis paper deals with the segmentation of angiodysplasias in wireless capsule endoscopy images. These lesions are the cause of almost 10% of all gastrointestinal bleeding episodes, and its detection using the available software presents low sensitivity. This work proposes an automatic selection of a ROI using an image segmentation module based on the MAP approach where an accelerated version of the EM algorithm is used to iteratively estimate the model parameters. Spatial context is modeled in the prior probability density function using Markov Random Fields. The color space used was CIELab, specially the a component, which highlighted most these type of lesions.The proposed method is the first regarding this specific type of lesions, but when compared to other state-of-the-art segmentation methods, it almost doubles the results.por
dc.description.sponsorshipThis work is supported by FCT with the reference project UID/EEA/04436/2013, by FEDER funds through the COMPETE 2020 - Programa Operacional Competitividade e Internacionalizacao (POCI) with the reference project POCI-01-0145-FEDER-006941 and with the grant SFRH/BD/92143/2013.por
dc.language.isoengpor
dc.publisherIEEEpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147325/PT-
dc.relationSFRH/BD/92143/2013-
dc.rightsrestrictedAccesspor
dc.titleSegmentation of angiodysplasia lesions in WCE images using a MAP approach with Markov random fieldspor
dc.typeconferencePaperpor
dc.peerreviewedyespor
sdum.event.typeconferencepor
oaire.citationStartPage1184por
oaire.citationEndPage1187por
oaire.citationVolume2016-October-
dc.date.updated2018-03-12T15:16:36Z-
dc.identifier.doi10.1109/EMBC.2016.7590916por
dc.identifier.pmid28268536-
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersionpor
dc.subject.wosScience & Technology-
sdum.export.identifier4389-
sdum.journalIEEE Engineering in Medicine and Biology Society Conference Proceedings-
sdum.conferencePublication2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)por
sdum.bookTitle2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)-
Appears in Collections:DEI - Artigos em atas de congressos internacionais

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