Aplicação de técnicas de content-based image retrieval (CBIR) em imagens radiográficas
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFG |
dARK ID: | ark:/38995/00130000043rn |
Texto Completo: | http://repositorio.bc.ufg.br/tede/handle/tede/6405 |
Resumo: | In order to improve the diagnostic process several research centers have focused on the development of information systems applying powerful techniques of computer-aided diagnosis (CAD). In this context, the creation of content-based image retrieval (CBIR) is an important step in developing an efficient CAD system. This work proposes the validation of recovery with a hybrid CBIR method based on 2D medical images. The results of the techniques applied, indicate a hit rate of 90.25% and indicate a gain of 35% in the performance of techniques, that is, the time search and retrieval of images, paving the way for the development of information systems more efficient to build support generic diagnostic systems. |
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Costa, Ronaldo Martins dahttp://lattes.cnpq.br/7080590204832262Costa, Ronaldo Martins daOliveira, Leandro Luís Galdino deSilva, Fernanda Paula Yamamotohttp://lattes.cnpq.br/4360680694049300Macena Júnior, Elias Borges2016-10-17T17:17:50Z2016-09-30MACENA JÚNIOR, E. B. Aplicação de técnicas de content-based image retrieval (CBIR) em imagens radiográficas. 2016. 71 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2016.http://repositorio.bc.ufg.br/tede/handle/tede/6405ark:/38995/00130000043rnIn order to improve the diagnostic process several research centers have focused on the development of information systems applying powerful techniques of computer-aided diagnosis (CAD). In this context, the creation of content-based image retrieval (CBIR) is an important step in developing an efficient CAD system. This work proposes the validation of recovery with a hybrid CBIR method based on 2D medical images. The results of the techniques applied, indicate a hit rate of 90.25% and indicate a gain of 35% in the performance of techniques, that is, the time search and retrieval of images, paving the way for the development of information systems more efficient to build support generic diagnostic systems.Com o objetivo de melhorar o processo de diagnóstico vários centros de pesquisas têm focado no desenvolvimento de sistemas de informação aplicando poderosas técnicas de diagnóstico auxiliado por computador (Computer-Aided Diagnosis-CAD). Neste contexto, a criação de métodos de recuperação de imagens baseado em conteúdo (Content-based image retrieval - CBIR) é um passo importante para desenvolver um sistema CAD eficiente. Este trabalho propõe a validação de técnicas de recuperação com um método híbrido CBIR baseado em imagens médicas 2D. Os resultados das técnicas aplicadas, indicam uma taxa de acerto de 90,25% e ainda indicam um ganho de 35% no desempenho das técnicas, isto é, no tempo de busca e recuperação das imagens, abrindo caminho para o desenvolvimento de sistemas de informação mais eficientes para construção de sistemas de apoio ao diagnóstico genéricos.Submitted by Cássia Santos (cassia.bcufg@gmail.com) on 2016-10-17T13:34:17Z No. of bitstreams: 2 Dissertação - Elias Borges Macena Junior - 2016.pdf: 9321304 bytes, checksum: ca477b8a1eeb56b690f41c443b0ca638 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)Approved for entry into archive by Jaqueline Silva (jtas29@gmail.com) on 2016-10-17T17:17:50Z (GMT) No. of bitstreams: 2 Dissertação - Elias Borges Macena Junior - 2016.pdf: 9321304 bytes, checksum: ca477b8a1eeb56b690f41c443b0ca638 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)Made available in DSpace on 2016-10-17T17:17:50Z (GMT). No. of bitstreams: 2 Dissertação - Elias Borges Macena Junior - 2016.pdf: 9321304 bytes, checksum: ca477b8a1eeb56b690f41c443b0ca638 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2016-09-30Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESapplication/pdfporUniversidade Federal de GoiásPrograma de Pós-graduação em Ciência da Computação (INF)UFGBrasilInstituto de Informática - INF (RG)http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessCBIRCADImagens médicasCBIRCADMedical imagesCIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAOAplicação de técnicas de content-based image retrieval (CBIR) em imagens radiográficasApplication of techniques of content- based image retrieval (CBIR) in radiographic imagesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis-3303550325223384799600600600600-771226673463364476836717112058112045092075167498588264571reponame:Repositório Institucional da UFGinstname:Universidade Federal de Goiás (UFG)instacron:UFGLICENSElicense.txtlicense.txttext/plain; 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dc.title.por.fl_str_mv |
Aplicação de técnicas de content-based image retrieval (CBIR) em imagens radiográficas |
dc.title.alternative.eng.fl_str_mv |
Application of techniques of content- based image retrieval (CBIR) in radiographic images |
title |
Aplicação de técnicas de content-based image retrieval (CBIR) em imagens radiográficas |
spellingShingle |
Aplicação de técnicas de content-based image retrieval (CBIR) em imagens radiográficas Macena Júnior, Elias Borges CBIR CAD Imagens médicas CBIR CAD Medical images CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
title_short |
Aplicação de técnicas de content-based image retrieval (CBIR) em imagens radiográficas |
title_full |
Aplicação de técnicas de content-based image retrieval (CBIR) em imagens radiográficas |
title_fullStr |
Aplicação de técnicas de content-based image retrieval (CBIR) em imagens radiográficas |
title_full_unstemmed |
Aplicação de técnicas de content-based image retrieval (CBIR) em imagens radiográficas |
title_sort |
Aplicação de técnicas de content-based image retrieval (CBIR) em imagens radiográficas |
author |
Macena Júnior, Elias Borges |
author_facet |
Macena Júnior, Elias Borges |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Costa, Ronaldo Martins da |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/7080590204832262 |
dc.contributor.referee1.fl_str_mv |
Costa, Ronaldo Martins da |
dc.contributor.referee2.fl_str_mv |
Oliveira, Leandro Luís Galdino de |
dc.contributor.referee3.fl_str_mv |
Silva, Fernanda Paula Yamamoto |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/4360680694049300 |
dc.contributor.author.fl_str_mv |
Macena Júnior, Elias Borges |
contributor_str_mv |
Costa, Ronaldo Martins da Costa, Ronaldo Martins da Oliveira, Leandro Luís Galdino de Silva, Fernanda Paula Yamamoto |
dc.subject.por.fl_str_mv |
CBIR CAD Imagens médicas |
topic |
CBIR CAD Imagens médicas CBIR CAD Medical images CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
dc.subject.eng.fl_str_mv |
CBIR CAD Medical images |
dc.subject.cnpq.fl_str_mv |
CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
description |
In order to improve the diagnostic process several research centers have focused on the development of information systems applying powerful techniques of computer-aided diagnosis (CAD). In this context, the creation of content-based image retrieval (CBIR) is an important step in developing an efficient CAD system. This work proposes the validation of recovery with a hybrid CBIR method based on 2D medical images. The results of the techniques applied, indicate a hit rate of 90.25% and indicate a gain of 35% in the performance of techniques, that is, the time search and retrieval of images, paving the way for the development of information systems more efficient to build support generic diagnostic systems. |
publishDate |
2016 |
dc.date.accessioned.fl_str_mv |
2016-10-17T17:17:50Z |
dc.date.issued.fl_str_mv |
2016-09-30 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
MACENA JÚNIOR, E. B. Aplicação de técnicas de content-based image retrieval (CBIR) em imagens radiográficas. 2016. 71 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2016. |
dc.identifier.uri.fl_str_mv |
http://repositorio.bc.ufg.br/tede/handle/tede/6405 |
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ark:/38995/00130000043rn |
identifier_str_mv |
MACENA JÚNIOR, E. B. Aplicação de técnicas de content-based image retrieval (CBIR) em imagens radiográficas. 2016. 71 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2016. ark:/38995/00130000043rn |
url |
http://repositorio.bc.ufg.br/tede/handle/tede/6405 |
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por |
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por |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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Universidade Federal de Goiás |
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UFG |
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Universidade Federal de Goiás |
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