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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3M924M2
Repositorysid.inpe.br/sibgrapi/2016/08.12.13.03
Last Update2016:08.12.13.03.13 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2016/08.12.13.03.13
Metadata Last Update2022:05.18.22.21.07 (UTC) administrator
Citation KeyRebouçasOlivMarqRebo:2016:StDeTh
TitleStroke detection through a nonparametric estimation-based level set approach based on the Parzen windows
FormatOn-line
Year2016
Access Date2024, May 03
Number of Files1
Size1337 KiB
2. Context
Author1 Rebouças, Elizângela de S.
2 Oliveira, Saulo A. F.
3 Marques, Regis C. P.
4 Rebouças Filho, Pedro P.
Affiliation1 Instituto Federal de Educação, Ciência e Tecnologia do Ceará
2 Instituto Federal de Educação, Ciência e Tecnologia do Ceará
3 Instituto Federal de Educação, Ciência e Tecnologia do Ceará
4 Instituto Federal de Educação, Ciência e Tecnologia do Ceará
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 Addresspedrosarf@ifce.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 TypeWork in Progress
History (UTC)2016-08-12 13:03:13 :: pedrosarf@ifce.edu.br -> administrator ::
2022-05-18 22:21:07 :: administrator -> :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsMedical imaging
stroke
level set
parzen-window
AbstractThis paper aims to aid stroke medical diagnosis through medical images of the brain. We propose a new approach to segment stroke brain Computerized Tomography (CT) images. The proposed approach uses level set method based on the nonparametric estimation approach via parzen-window. Besides this, by optimizing the criterion function, an optimal global threshold is obtained. The results demonstrated the success of the proposed method, when it was compared with the level set algorithm based on the coherent propagation method, using a ground truth built by a specialist. The results obtained show that the proposed method is better than the method based on coherent propagation. This method is a promising approach to be used in clinical routine diagnosis, since it requires less than 2 seconds for the analysis using a personal computer.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2016 > Stroke detection through...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3M924M2
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3M924M2
Languageen
Target FileID_7.pdf
User Grouppedrosarf@ifce.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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