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Developments on finite element methods for medical image supported diagnostics

2017-10Conference object Restricted access
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dc.contributor.authorAlmeida, Ana
dc.contributor.authorBarbosa, Joaquim
dc.contributor.authorCarvalho, André
dc.contributor.authorLoja, Amélia
dc.contributor.authorPortal, Ricardo
dc.contributor.authorRodrigues, José Alberto
dc.contributor.authorVieira, Lina Oliveira
dc.date.accessioned2017-11-20T09:27:44Z
dc.date.available2017-11-20T09:27:44Z
dc.date.issued2017-10
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.abstractVariational image-processing models offer high-quality processing capabilities for imaging. They have been widely developed and used in the last two decades, enriching the fields of mathematics as well as information science. Mathematically, several tools are needed: energy optimization, regularization, partial differential equations, level set functions, and numerical algorithms. For this work we consider a 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 regularized functional and to locally analyse the obtained solution. Some 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] – Developments on finite element methods for medical image supported diagnostics. In VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing. Porto, Portugal: Springer, Cham, – VipIMAGE 2017. ISSN 978-3-319-68194-8. Vol. 27, pp. 275-285pt_PT
dc.identifier.doihttps://doi.org/10.1007/978-3-319-68195-5_30pt_PT
dc.identifier.issn978-3-319-68195-5
dc.identifier.issn978-3-319-68194-8
dc.identifier.urihttp://hdl.handle.net/10400.21/7558
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerOpenpt_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_ISELpt_PT
dc.subjectVariational methodpt_PT
dc.subjectFinite element methodpt_PT
dc.subjectMedical image processingpt_PT
dc.titleDevelopments on finite element methods for medical image supported diagnosticspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceOctober 18-20, 2017pt_PT
oaire.citation.endPage285pt_PT
oaire.citation.startPage275pt_PT
oaire.citation.titleVI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processingpt_PT
oaire.citation.volume27pt_PT
person.familyNameBarbosa
person.familyNameCarvalho
person.familyNameLoja
person.familyNamePortal
person.familyNameRodrigues
person.familyNameVieira
person.givenNameJoaquim
person.givenNameAndré
person.givenNameAmélia
person.givenNameRicardo
person.givenNameJosé Alberto
person.givenNameLina Oliveira
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person.identifier.orcid0000-0002-7109-6535
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rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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