Classificação de Lesões em Mamografias Digitais Utilizando Análise de Componentes Independentes e Perceptron Multicamadas
| Ano de defesa: | 2006 |
|---|---|
| Autor(a) principal: |
Campos, Lucio Flavio de Albuquerque
 |
| Orientador(a): |
BARROS FILHO, Allan Kardec Duailibe
|
| Banca de defesa: | |
| Tipo de documento: | Dissertação |
| Tipo de acesso: | Acesso aberto |
| Idioma: | por |
| Instituição de defesa: |
Universidade Federal do Maranhão
|
| Programa de Pós-Graduação: |
PROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA DE ELETRICIDADE/CCET
|
| Departamento: |
Engenharia
|
| País: |
BR
|
| Palavras-chave em Português: | |
| Palavras-chave em Inglês: | |
| Área do conhecimento CNPq: | |
| Link de acesso: | https://riufma.ufma.br/handle/tede/344 |
Resumo: | We propose a method for discrimination and classification of mammograms with benign, malignant and normal tissues using independent component analysis and neural networks. The method was tested for a mammogram set from MIAS database, and multilayer perceptron. The method obtained a success rate of 97.83% , with 97.5% of specificity and 98% of sensitivity. |
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2016-08-17T14:52:50Z2026-09-19T13:48:57Z2007-09-122006-03-24CAMPOS, Lucio Flavio de Albuquerque. Classification of Digital Injuries in examination of breast cancer Using Analysis of Components Independentes and multilayers Perceptron. 2006. 61 f. Dissertação (Mestrado em Engenharia) - Universidade Federal do Maranhão, São Luis, 2006.https://riufma.ufma.br/handle/tede/344We propose a method for discrimination and classification of mammograms with benign, malignant and normal tissues using independent component analysis and neural networks. The method was tested for a mammogram set from MIAS database, and multilayer perceptron. The method obtained a success rate of 97.83% , with 97.5% of specificity and 98% of sensitivity.Neste trabalho, propomos um método para discriminação e classificação de mamogramas, com diagnóstico maligno, benigno e normal, usando análise de componentes independentes e redes neurais. O método foi testado com mamogramas da MIAS database, e com redes perceptron multicamadas. O método obteve uma taxa de sucesso média de 97.83%, com 97.5% de especificidade, e 98% de sensibilidade.application/pdfporUniversidade Federal do MaranhãoPROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA DE ELETRICIDADE/CCETUFMABREngenhariamamogramacâncer de mamaanálise de componentes independentesdiagnóstico auxiliado por computadorMammogrambreast cancerindependent component analysisneural networkscomputer aided diagnosisCNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAOClassificação de Lesões em Mamografias Digitais Utilizando Análise de Componentes Independentes e Perceptron MulticamadasClassification of Digital Injuries in examination of breast cancer Using Analysis of Components Independentes and multilayers Perceptroninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisBARROS FILHO, Allan Kardec Duailibehttp://lattes.cnpq.br/0492330410079141http://lattes.cnpq.br/6876234739101371Campos, Lucio Flavio de Albuquerqueinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMAinstname:Universidade Federal do Maranhão (UFMA)instacron:UFMAORIGINALLucio Flavio de Albuquerque Campos.pdfapplication/pdf558329https://riufma.ufma.br/bitstreams/cf4fadda-dd23-45fe-9996-77719cd3baf7/download1be43a8cd03ed147f8b5187d7e538e5aMD51trueAnonymousREADTEXTLucio Flavio de Albuquerque Campos.pdf.txtWritten by FormatFilter org.dspace.app.mediafilter.TikaTextExtractionFilter on 2026-09-24T03:29:01Z (GMT).Extracted texttext/plain73234https://riufma.ufma.br/bitstreams/54c2a8fb-b371-4820-98da-7245e681a499/download78e3b33d322829538e9ec9bc2c16afdeMD52falseAnonymousREADTHUMBNAILLucio Flavio de Albuquerque Campos.pdf.jpgWritten by FormatFilter org.dspace.app.mediafilter.PDFBoxThumbnail on 2026-09-24T03:29:01Z (GMT).Generated Thumbnailimage/jpeg2749https://riufma.ufma.br/bitstreams/f98ec304-541f-42fc-90a2-08d567ba25bd/downloadbb5a344315d78811d5c59a6843b8e69dMD53falseAnonymousREADLICENSElicense.txttext/plain; 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| dc.title.por.fl_str_mv |
Classificação de Lesões em Mamografias Digitais Utilizando Análise de Componentes Independentes e Perceptron Multicamadas |
| dc.title.alternative.eng.fl_str_mv |
Classification of Digital Injuries in examination of breast cancer Using Analysis of Components Independentes and multilayers Perceptron |
| title |
Classificação de Lesões em Mamografias Digitais Utilizando Análise de Componentes Independentes e Perceptron Multicamadas |
| spellingShingle |
Classificação de Lesões em Mamografias Digitais Utilizando Análise de Componentes Independentes e Perceptron Multicamadas Campos, Lucio Flavio de Albuquerque mamograma câncer de mama análise de componentes independentes diagnóstico auxiliado por computador Mammogram breast cancer independent component analysis neural networks computer aided diagnosis CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
| title_short |
Classificação de Lesões em Mamografias Digitais Utilizando Análise de Componentes Independentes e Perceptron Multicamadas |
| title_full |
Classificação de Lesões em Mamografias Digitais Utilizando Análise de Componentes Independentes e Perceptron Multicamadas |
| title_fullStr |
Classificação de Lesões em Mamografias Digitais Utilizando Análise de Componentes Independentes e Perceptron Multicamadas |
| title_full_unstemmed |
Classificação de Lesões em Mamografias Digitais Utilizando Análise de Componentes Independentes e Perceptron Multicamadas |
| title_sort |
Classificação de Lesões em Mamografias Digitais Utilizando Análise de Componentes Independentes e Perceptron Multicamadas |
| author |
Campos, Lucio Flavio de Albuquerque |
| author_facet |
Campos, Lucio Flavio de Albuquerque |
| author_role |
author |
| dc.contributor.advisor1.fl_str_mv |
BARROS FILHO, Allan Kardec Duailibe |
| dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/0492330410079141 |
| dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/6876234739101371 |
| dc.contributor.author.fl_str_mv |
Campos, Lucio Flavio de Albuquerque |
| contributor_str_mv |
BARROS FILHO, Allan Kardec Duailibe |
| dc.subject.por.fl_str_mv |
mamograma câncer de mama análise de componentes independentes diagnóstico auxiliado por computador |
| topic |
mamograma câncer de mama análise de componentes independentes diagnóstico auxiliado por computador Mammogram breast cancer independent component analysis neural networks computer aided diagnosis CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
| dc.subject.eng.fl_str_mv |
Mammogram breast cancer independent component analysis neural networks computer aided diagnosis |
| dc.subject.cnpq.fl_str_mv |
CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
| description |
We propose a method for discrimination and classification of mammograms with benign, malignant and normal tissues using independent component analysis and neural networks. The method was tested for a mammogram set from MIAS database, and multilayer perceptron. The method obtained a success rate of 97.83% , with 97.5% of specificity and 98% of sensitivity. |
| publishDate |
2006 |
| dc.date.issued.fl_str_mv |
2006-03-24 |
| dc.date.available.fl_str_mv |
2007-09-12 |
| dc.date.accessioned.fl_str_mv |
2016-08-17T14:52:50Z 2026-09-19T13:48:57Z |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
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masterThesis |
| status_str |
publishedVersion |
| dc.identifier.citation.fl_str_mv |
CAMPOS, Lucio Flavio de Albuquerque. Classification of Digital Injuries in examination of breast cancer Using Analysis of Components Independentes and multilayers Perceptron. 2006. 61 f. Dissertação (Mestrado em Engenharia) - Universidade Federal do Maranhão, São Luis, 2006. |
| dc.identifier.uri.fl_str_mv |
https://riufma.ufma.br/handle/tede/344 |
| identifier_str_mv |
CAMPOS, Lucio Flavio de Albuquerque. Classification of Digital Injuries in examination of breast cancer Using Analysis of Components Independentes and multilayers Perceptron. 2006. 61 f. Dissertação (Mestrado em Engenharia) - Universidade Federal do Maranhão, São Luis, 2006. |
| url |
https://riufma.ufma.br/handle/tede/344 |
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por |
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por |
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openAccess |
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Universidade Federal do Maranhão |
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PROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA DE ELETRICIDADE/CCET |
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UFMA |
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Engenharia |
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Universidade Federal do Maranhão |
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