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Finite element techniques for medical image processing

dc.contributor.authorAlmeida, A.
dc.contributor.authorBarbosa, Joaquim
dc.contributor.authorCarvalho, A.
dc.contributor.authorLoja, Amélia
dc.contributor.authorPortal, Ricardo
dc.contributor.authorRodrigues, José Alberto
dc.contributor.authorVieira, L.
dc.date.accessioned2017-06-09T13:21:37Z
dc.date.available2017-06-09T13:21:37Z
dc.date.issued2017-04
dc.descriptionEste trabalho foi financiado pelo Concurso Anual para Projetos de Investigação, Desenvolvimento, Inovação e Criação Artística (IDI&CA) 2016 do Instituto Politécnico de Lisboa. Código de referência IPL/2016/V2MIP_ISEL
dc.description.abstractWe consider some second-order variational model for solving medical image problems. The aim is to obtain as far as possible fine features of the initial image and identify medical pathologies. The approach consists of constructing a family of regularized functionals and to select locally and adaptively the regularization parameters. The parameters selection is performed at the discrete level in the framework of the finite element method. We present several numerical simulations to test the efficiency of the proposed approach.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationALMEIDA, A.; [et al] – Finite element techniques for medical image processing. In 3rd International Conference on Numerical and Symbolic Computation – SYMCOMP 2017. Guimarães, Portugal. ECCOMAS – European Community on Computational Methods in Applied Sciences, 2017. ISBN: 978-989-99410-3-8. Pp. 243-250.pt_PT
dc.identifier.isbn978-989-99410-3-8
dc.identifier.urihttp://hdl.handle.net/10400.21/7179
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherECCOMAS – European Community on Computational Methods in Applied Sciencespt_PT
dc.relationProjeto financiado no âmbito do Concurso de Projetos de Investigação, Desenvolvimento, Inovação & Criação Artística (IDI&CA) financiados pelo Instituto Politécnico de Lisboa. IPL/2016/V2MIP_ISEL
dc.relation.publisherversionhttp://www.eccomas.org/cvdata/cntr1/spc10/dtos/img/mdia/symcomp2017-proceedings-160517.pdfpt_PT
dc.subjectVariational methodpt_PT
dc.subjectFinite element methodpt_PT
dc.subjectImage processingpt_PT
dc.titleFinite element techniques for medical image processingpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage250pt_PT
oaire.citation.startPage243pt_PT
person.familyNameBarbosa
person.familyNameLoja
person.familyNamePortal
person.familyNameRodrigues
person.givenNameJoaquim
person.givenNameAmélia
person.givenNameRicardo
person.givenNameJosé Alberto
person.identifier535461
person.identifier.ciencia-id361B-9965-016F
person.identifier.ciencia-idA016-59D1-2D00
person.identifier.ciencia-id2316-E045-2848
person.identifier.ciencia-id241B-90A4-D998
person.identifier.orcid0000-0002-8219-6435
person.identifier.orcid0000-0002-4452-5840
person.identifier.orcid0000-0001-9082-5804
person.identifier.orcid0000-0001-5630-7149
person.identifier.ridL-5730-2013
person.identifier.ridI-7513-2015
person.identifier.scopus-author-id7202435183
person.identifier.scopus-author-id15741348500
person.identifier.scopus-author-id57196235619
person.identifier.scopus-author-id7202707426
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication6743a818-d8d5-489f-829e-43391b3257cc
relation.isAuthorOfPublication.latestForDiscoverya7598fac-8160-4003-ab71-5d28a11711dc

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