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Metadados

1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Código do Detentoribi 8JMKD3MGPEW34M/46T9EHH
Identificador8JMKD3MGPBW34M/3A3SG5H
Repositóriosid.inpe.br/sibgrapi/2011/07.12.08.58
Última Atualização2011:07.12.08.58.48 (UTC) administrator
Repositório de Metadadossid.inpe.br/sibgrapi/2011/07.12.08.58.48
Última Atualização dos Metadados2022:05.18.22.20.48 (UTC) administrator
DOI10.1109/SIBGRAPI.2011.40
Chave de CitaçãoDesernoSoirOlivArau:2011:ToCoDi
TítuloTowards computer-aided diagnostics of screening mammography using content-based image retrieval
FormatoDVD, On-line.
Ano2011
Data de Acesso21 maio 2022
Número de Arquivos1
Tamanho1639 KiB
2. Contextualização
Autor1 Deserno, Thomas M.
2 Soiron, Michael
3 Oliveira, Julia E. E. de
4 Araujo, Arnaldo de A.
Afiliação1 Department of Medical Informatics, RWTH Aachen University, Aachen, Germany
2 Department of Medical Informatics, RWTH Aachen University, Aachen, Germany
3 Department of Computer Science, Universidade Federal de Minas Gerais Belo Horizonte, MG, Brazil
4 Department of Computer Science, Universidade Federal de Minas Gerais Belo Horizonte, MG, Brazil
EditorLewiner, Thomas
Torres, Ricardo
Endereço de e-Maildeserno@ieee.org
Nome do EventoConference on Graphics, Patterns and Images, 24 (SIBGRAPI)
Localização do EventoMaceió, AL, Brazil
Data28-31 Aug. 2011
Editora (Publisher)IEEE Computer Society
Cidade da EditoraLos Alamitos
Título do LivroProceedings
Tipo TerciárioFull Paper
Histórico (UTC)2011-07-23 15:36:13 :: deserno@ieee.org -> administrator :: 2011
2022-05-18 22:20:48 :: administrator -> :: 2011
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo de Versãofinaldraft
Palavras-ChaveContent-based image retrieval
Computer-aided diagnosis
Principal component analysis
Support vector machine
Mammography
Breast lesion
Breast density
ResumoScreening mammography has been established worldwide for early detection of breast cancer, one of the main causes of death among women in occidental countries. In this paper, we aim at moving towards computer-aided diagnostics of screening mammography. Tissue and lesion are classified using the methodology of content-based image retrieval. In addition, we aim at comprehensive evaluation and have established a large database of annotated reference images (ground truth), which has been merged and unified from different sources publicly available to research. In total, 10,509 mammographic images have been collected from the different sources. From this, 3,375 images are provided with one and 430 radiographs with more than one chain code annotations. This data supports experiments with up to 12 classes, and 233 images per class if a equal distribution is required. Using a two-dimensional principal component analysis with four eigenvalues and a support vector machine with Gaussian kernel for feature extraction and image retrieval, respectively, the precision of computer-aided diagnosis is above 80%. It therefore may be used as second opinion in screening mammography.
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 12/07/2011 05:58 0.5 KiB 
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGPBW34M/3A3SG5H
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGPBW34M/3A3SG5H
Idiomaen
Arquivo AlvoDeserno-2011.pdf
Grupo de Usuáriosdeserno@ieee.org
Visibilidadeshown
5. Fontes relacionadas
Repositório Espelhosid.inpe.br/banon/2001/03.30.15.38.24
Unidades Imediatamente Superiores8JMKD3MGPEW34M/46SKNPE
Acervo Hospedeirosid.inpe.br/banon/2001/03.30.15.38
6. Notas
Campos Vaziosaccessionnumber archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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