Image segmentation algorithms and their use on doppler images

Detalhes bibliográficos
Autor(a) principal: Tatiana D. C. A. Silva
Data de Publicação: 2011
Outros Autores: Zhen Ma, João Manuel R. S.Tavares
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/56785
Resumo: This 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.
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spelling Image segmentation algorithms and their use on doppler imagesCiências Tecnológicas, Outras ciências da engenharia e tecnologiasTechnological sciences, Other engineering and technologiesThis 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.20112011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/56785engTatiana D. C. A. SilvaZhen MaJoão Manuel R. S.Tavaresinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T15:33:47Zoai:repositorio-aberto.up.pt:10216/56785Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:26:42.503883Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Image segmentation algorithms and their use on doppler images
title Image segmentation algorithms and their use on doppler images
spellingShingle Image segmentation algorithms and their use on doppler images
Tatiana D. C. A. Silva
Ciências Tecnológicas, Outras ciências da engenharia e tecnologias
Technological sciences, Other engineering and technologies
title_short Image segmentation algorithms and their use on doppler images
title_full Image segmentation algorithms and their use on doppler images
title_fullStr Image segmentation algorithms and their use on doppler images
title_full_unstemmed Image segmentation algorithms and their use on doppler images
title_sort Image segmentation algorithms and their use on doppler images
author Tatiana D. C. A. Silva
author_facet Tatiana D. C. A. Silva
Zhen Ma
João Manuel R. S.Tavares
author_role author
author2 Zhen Ma
João Manuel R. S.Tavares
author2_role author
author
dc.contributor.author.fl_str_mv Tatiana D. C. A. Silva
Zhen Ma
João Manuel R. S.Tavares
dc.subject.por.fl_str_mv Ciências Tecnológicas, Outras ciências da engenharia e tecnologias
Technological sciences, Other engineering and technologies
topic Ciências Tecnológicas, Outras ciências da engenharia e tecnologias
Technological sciences, Other engineering and technologies
description This 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.
publishDate 2011
dc.date.none.fl_str_mv 2011
2011-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/book
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/56785
url https://hdl.handle.net/10216/56785
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instacron:RCAAP
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