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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3A3SG5H
Repositorysid.inpe.br/sibgrapi/2011/07.12.08.58
Last Update2011:07.12.08.58.48 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2011/07.12.08.58.48
Metadata Last Update2022:07.30.18.29.09 (UTC) administrator
DOI10.1109/SIBGRAPI.2011.40
Citation KeyDesernoSoirOlivAraú:2011:ToCoDi
TitleTowards computer-aided diagnostics of screening mammography using content-based image retrieval
FormatDVD, On-line.
Year2011
Access Date2024, Apr. 28
Number of Files1
Size1639 KiB
2. Context
Author1 Deserno, Thomas M.
2 Soiron, Michael
3 Oliveira, Julia E. E. de
4 Araújo, Arnaldo de Albuquerque
Affiliation1 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
e-Mail Addressdeserno@ieee.org
Conference NameConference on Graphics, Patterns and Images, 24 (SIBGRAPI)
Conference LocationMaceió, AL, Brazil
Date28-31 Aug. 2011
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2011-07-23 15:36:13 :: deserno@ieee.org -> administrator :: 2011
2022-07-30 18:29:09 :: administrator -> :: 2011
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsContent-based image retrieval
Computer-aided diagnosis
Principal component analysis
Support vector machine
Mammography
Breast lesion
Breast density
AbstractScreening 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.
ArrangementFonds > Full Index > Towards computer-aided diagnostics...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3A3SG5H
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3A3SG5H
Languageen
Target FileDeserno-2011.pdf
User Groupdeserno@ieee.org
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SKNPE
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.15.00.56 5
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy 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 schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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