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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPEW34M/3U2KGNE
Repositorysid.inpe.br/sibgrapi/2019/09.09.23.44
Last Update2019:09.10.00.28.32 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2019/09.09.23.44.19
Metadata Last Update2022:06.14.00.09.34 (UTC) administrator
DOI10.1109/SIBGRAPI.2019.00018
Citation KeyRodriguesLoGiBaViGuSi:2019:CASyBr
TitleCAD System for Breast US Images with Speckle Noise Reduction and Bio-inspired Segmentation
FormatOn-line
Year2019
Access Date2024, Apr. 27
Number of Files1
Size496 KiB
2. Context
Author1 Rodrigues, Paulo Sergio Silva
2 Lopes, Guilherme A. Wachs
3 Giraldi, Gilson A.
4 Barcelos, Celia A. Z.
5 Vieira, Luciana
6 Guliato, Denise
7 Singh, Bikesh Kumar
Affiliation1 Computer Science Department, Centro Universitário FEI
2 Computer Science Department, Centro Universitário FEI
3 National Laboratory for Scientific Computing
4 Federal University of Uberlandia
5 Federal University of Uberlandia
6 Federal University of Uberlandia
7 Department of Biomedical Engineering, National Institute of Technology Raipur
EditorOliveira, Luciano Rebouças de
Sarder, Pinaki
Lage, Marcos
Sadlo, Filip
e-Mail Addressgilson@lncc.br
Conference NameConference on Graphics, Patterns and Images, 32 (SIBGRAPI)
Conference LocationRio de Janeiro, RJ, Brazil
Date28-31 Oct. 2019
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2019-09-10 00:28:33 :: gilson@lncc.br -> administrator :: 2019
2022-06-14 00:09:34 :: administrator -> gilson@lncc.br :: 2019
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsCAD System
Ultrasound images
Speckle Noise Reduction
Bio-inspired Segmentation
AbstractUltrasound (US) images are highly susceptible to speckle-like noise which makes imperative to use specific techniques for image smoothing. However, this process can lead to undesirable side effects such as the degradation of the real contour of the region of interest (ROI). In such context, this paper presents a new methodology for computer aided diagnosis (CAD) systems whose heart is the combination of a method for speckle noise reduction, with histogram equalization and a technique for image segmentation that uses the bio-inspired firefly algorithm and Bayesian model. The segmentation approach and the equalization are applied in two distinct stages: globally and locally. The global application produces an initial coarse estimate of the ROI, and the local application defines this region more precisely. In the classification step we carried out experiments which show that the combination of features computed both within and below the lesion strongly influences the final accuracy. We show that the gray-scale distribution and statistical moments within the lesion together with gray-scale distribution and contrast of the region below the lesion is the combination that produces the better classification results. Experiments in a database of 250 US images of breast anomalies (100 benign and 150 malignant) show that the proposed methodology reaches performance of 95%.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2019 > CAD System for...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > CAD System for...
doc Directory Contentaccess
source Directory Content
Paper-ID-38-Sibgrapi-Breast-CAD-03-08-2019.pdf 09/09/2019 20:44 490.7 KiB 
agreement Directory Content
agreement.html 09/09/2019 20:44 1.2 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPEW34M/3U2KGNE
zipped data URLhttp://urlib.net/zip/8JMKD3MGPEW34M/3U2KGNE
Languageen
Target FilePID6125907.pdf
User Groupgilson@lncc.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/3UA4FNL
8JMKD3MGPEW34M/3UA4FPS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2019/10.25.18.30.33 2
sid.inpe.br/sibgrapi/2022/06.10.21.49 2
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination 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
7. Description control
e-Mail (login)gilson@lncc.br
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