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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3MDE9AE
Repositorysid.inpe.br/sibgrapi/2016/09.08.22.05
Last Update2016:09.08.22.05.19 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2016/09.08.22.05.19
Metadata Last Update2022:05.18.22.21.10 (UTC) administrator
Citation KeyMassaRibeLopeRodr:2016:ReReIm
TitleRealce de regiões em imagens de ultrassom de câncer mamário baseado em funções q -sigmóides
FormatOn-line
Year2016
Access Date2024, May 03
Number of Files1
Size382 KiB
2. Context
Author1 Massa, Paulo Gabriel
2 Ribeiro, Monael Pinheiro
3 Lopes, Guilherme Alberto Wachs
4 Rodrigues, aulo Sergio Silva
Affiliation1 Centro de Matemática, Computação e Cognição da Universidade Federal do ABC, Santo André, Brasil
2 Centro de Matemática, Computação e Cognição da Universidade Federal do ABC, Santo André, Brasil
3 Departamento de Ciência Computação do Centro Universitário FEI, São Bernardo, Brasil
4 Departamento de Ciência Computação do Centro Universitário FEI, São Bernardo, Brasil
EditorAliaga, Daniel G.
Davis, Larry S.
Farias, Ricardo C.
Fernandes, Leandro A. F.
Gibson, Stuart J.
Giraldi, Gilson A.
Gois, João Paulo
Maciel, Anderson
Menotti, David
Miranda, Paulo A. V.
Musse, Soraia
Namikawa, Laercio
Pamplona, Mauricio
Papa, João Paulo
Santos, Jefersson dos
Schwartz, William Robson
Thomaz, Carlos E.
e-Mail Addresspaulo.massa@aluno.ufabc.edu.br
Conference NameConference on Graphics, Patterns and Images, 29 (SIBGRAPI)
Conference LocationSão José dos Campos, SP, Brazil
Date4-7 Oct. 2016
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeUndergraduate Work
History (UTC)2016-09-08 22:05:19 :: paulo.massa@aluno.ufabc.edu.br -> administrator ::
2022-05-18 22:21:10 :: administrator -> :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordscontrast enhancement
sigmoid
tsallis statistics
ultra-sound images
q-exponential
q-sigmoid
q-gaussian
AbstractAbstractThis paper introduces by the first timethe q-Sigmoid functions, a variation of the so called Sigmoid function, which is based on exponential kernels. This new function is based on non-extensive Tsallis statistics, through the use of q-Exponential kernels. The potential of this new function is demonstrated under the context of digital image processing, particularly for contrast enhancement and highlight regions of interest in ultrasound images of breast cancer. In the preliminary experiments, the proposed method showed good performance for both benign and malignant tumor images, significantly highlighting the region of interest from its background. This suggests that the proposed methodology can be explored in CAD (Computed AidedDiagnosis) systems as a pre-processing step of later stages such as segmentation and extraction of lesion contours before the shape and texture analysis stages in a system of automatic diagnosis.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2016 > Realce de regiões...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3MDE9AE
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3MDE9AE
Languagept
Target Filepaper-qenhancement-ufabc.pdf
User Grouppaulo.massa@aluno.ufabc.edu.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3M2D4LP
Citing Item Listsid.inpe.br/sibgrapi/2016/07.02.23.50 5
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi 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 versiontype volume


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