Computerized brain tumor segmentation in magnetic resonance imaging

Detalhes bibliográficos
Autor(a) principal: Alegro,Maryana de Carvalho
Data de Publicação: 2012
Outros Autores: Amaro Junior,Edson, Lopes,Rosei de Deus
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Einstein (São Paulo)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082012000200008
Resumo: OBJECTIVE: To propose an automatic brain tumor segmentation system. METHODS: The system used texture characteristics as its main source of information for segmentation. RESULTS: The mean correct match was 94% of correspondence between the segmented areas and ground truth. CONCLUSION: Final results showed that the proposed system was able to find and delimit tumor areas without requiring any user interaction.
id IIEPAE-1_2adfb15ac4726a675903548fdccf63de
oai_identifier_str oai:scielo:S1679-45082012000200008
network_acronym_str IIEPAE-1
network_name_str Einstein (São Paulo)
repository_id_str
spelling Computerized brain tumor segmentation in magnetic resonance imagingMagnetic resonance imagingImage processing, computer-assistedBrain neoplasmsOBJECTIVE: To propose an automatic brain tumor segmentation system. METHODS: The system used texture characteristics as its main source of information for segmentation. RESULTS: The mean correct match was 94% of correspondence between the segmented areas and ground truth. CONCLUSION: Final results showed that the proposed system was able to find and delimit tumor areas without requiring any user interaction.Instituto Israelita de Ensino e Pesquisa Albert Einstein2012-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082012000200008einstein (São Paulo) v.10 n.2 2012reponame:Einstein (São Paulo)instname:Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)instacron:IIEPAE10.1590/S1679-45082012000200008info:eu-repo/semantics/openAccessAlegro,Maryana de CarvalhoAmaro Junior,EdsonLopes,Rosei de Deuseng2012-09-20T00:00:00Zoai:scielo:S1679-45082012000200008Revistahttps://journal.einstein.br/pt-br/ONGhttps://old.scielo.br/oai/scielo-oai.php||revista@einstein.br2317-63851679-4508opendoar:2012-09-20T00:00Einstein (São Paulo) - Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)false
dc.title.none.fl_str_mv Computerized brain tumor segmentation in magnetic resonance imaging
title Computerized brain tumor segmentation in magnetic resonance imaging
spellingShingle Computerized brain tumor segmentation in magnetic resonance imaging
Alegro,Maryana de Carvalho
Magnetic resonance imaging
Image processing, computer-assisted
Brain neoplasms
title_short Computerized brain tumor segmentation in magnetic resonance imaging
title_full Computerized brain tumor segmentation in magnetic resonance imaging
title_fullStr Computerized brain tumor segmentation in magnetic resonance imaging
title_full_unstemmed Computerized brain tumor segmentation in magnetic resonance imaging
title_sort Computerized brain tumor segmentation in magnetic resonance imaging
author Alegro,Maryana de Carvalho
author_facet Alegro,Maryana de Carvalho
Amaro Junior,Edson
Lopes,Rosei de Deus
author_role author
author2 Amaro Junior,Edson
Lopes,Rosei de Deus
author2_role author
author
dc.contributor.author.fl_str_mv Alegro,Maryana de Carvalho
Amaro Junior,Edson
Lopes,Rosei de Deus
dc.subject.por.fl_str_mv Magnetic resonance imaging
Image processing, computer-assisted
Brain neoplasms
topic Magnetic resonance imaging
Image processing, computer-assisted
Brain neoplasms
description OBJECTIVE: To propose an automatic brain tumor segmentation system. METHODS: The system used texture characteristics as its main source of information for segmentation. RESULTS: The mean correct match was 94% of correspondence between the segmented areas and ground truth. CONCLUSION: Final results showed that the proposed system was able to find and delimit tumor areas without requiring any user interaction.
publishDate 2012
dc.date.none.fl_str_mv 2012-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082012000200008
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082012000200008
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1679-45082012000200008
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto Israelita de Ensino e Pesquisa Albert Einstein
publisher.none.fl_str_mv Instituto Israelita de Ensino e Pesquisa Albert Einstein
dc.source.none.fl_str_mv einstein (São Paulo) v.10 n.2 2012
reponame:Einstein (São Paulo)
instname:Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)
instacron:IIEPAE
instname_str Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)
instacron_str IIEPAE
institution IIEPAE
reponame_str Einstein (São Paulo)
collection Einstein (São Paulo)
repository.name.fl_str_mv Einstein (São Paulo) - Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)
repository.mail.fl_str_mv ||revista@einstein.br
_version_ 1752129906606604288