Close
Metadata

Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPBW34M/3JRKPRH
Repositorysid.inpe.br/sibgrapi/2015/07.13.18.25
Last Update2015:07.13.18.25.12 (UTC) administrator
Metadatasid.inpe.br/sibgrapi/2015/07.13.18.25.12
Metadata Last Update2016:06.03.21.18.36 (UTC) administrator
Citation KeyBragaMarqMedeUshi:2015:SeCéCe
TitleSegmentação de Células Cervicais Utilizando Level Set Binário-Hierárquico
FormatOn-line
Year2015
Access Date2021, Nov. 28
Number of Files1
Size824 KiB
Context area
Author1 Braga, Alan Magalhães
2 Marques, Regis Cristiano Pinheiro
3 Medeiros, Fátima Nelsizeuma Sombra
4 Ushizima, Daniela Mayumi
Affiliation1 Instituto Federal do Ceará
2 Instituto Federal do Ceará
3 Universidade Federal do Ceará
4 Berkeley Institute for Data Science, University of California, Berkeley & Computational Research Division, Lawrence Berkeley National Lab
EditorRios, Ricardo Araujo
Paiva, Afonso
e-Mail Addressalanmbraga@gmail.com
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador
DateAug. 26-29, 2015
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeWork in Progress
History (UTC)2015-07-13 18:25:12 :: alanmbraga@gmail.com -> administrator ::
2016-06-03 21:18:36 :: administrator -> :: 2015
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordscervical cancer cell
clusters detection
level set
image segmentation
AbstractThis paper introduces a hierarchical approach based on a binary level set algorithm for cervical cell segmentation. The proposed program recursively segments a region into two new regions, starting from the whole image. In each step of the hierarchical process, we use a multiscale strategy to estimate the number of clusters of the current region. A new division is performed if two or more clusters are detected. The segmentation process automatically terminates when all regions cannot be divided further, according to the criteria imposed by the proposed method. Experiments performed on the Herlev dataset showed the effectiveness of the proposed hierarchical algorithm.
Arrangementurlib.net > SDLA > SIBGRAPI 2015 > Segmentação de Células...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 13/07/2015 15:25 1.1 KiB 
Conditions of access and use area
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3JRKPRH
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3JRKPRH
Languagept
Target Filesegmentacao-de-celulas_camera_ready.pdf
User Groupadministrator
alanmbraga@gmail.com
Visibilityshown
Update Permissionnot transferred
Allied materials area
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPBW34M/3K24PF8
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
Notes area
Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group holdercode 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 versiontype volume

Close