Computerized brain tumor segmentation in magnetic resonance imaging
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , |
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. |
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Einstein (São Paulo) |
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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 |