Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/56785
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dc.creatorTatiana D. C. A. Silva
dc.creatorZhen Ma
dc.creatorJoão Manuel R. S.Tavares
dc.date.accessioned2019-02-01T08:49:25Z-
dc.date.available2019-02-01T08:49:25Z-
dc.date.issued2011
dc.identifier.othersigarra:62363
dc.identifier.urihttps://repositorio-aberto.up.pt/handle/10216/56785-
dc.description.abstractThis paper aims to make a review on current segmentation algorithms used for medical images. Image segmentation algorithms can be classified according to their methodologies, namely the ones based on thresholds, clustering, and deformable models. Each type of algorithms is discussed as well as their main application fields identified; additionally, the advantages and disadvantages of each type are pointed out. Experiments that apply the algorithms to segment Doppler images are presented to further evaluate their behaviour.
dc.language.isoeng
dc.relation.ispartofComputational Vision and Medical Image Processing: VipIMAGE 2011
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectCiências Tecnológicas, Outras ciências da engenharia e tecnologias
dc.subjectTechnological sciences, Other engineering and technologies
dc.titleImage segmentation algorithms and their use on doppler images
dc.typeArtigo em Livro de Atas de Conferência Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.subject.fosCiências da engenharia e tecnologias::Outras ciências da engenharia e tecnologias
dc.subject.fosEngineering and technology::Other engineering and technologies
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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