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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier83LX3pFwXQZW44Lb/cBndb
Repositorydpi.inpe.br/ambro/1998/03.30.11.50
Last Update1998:06.16.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2001/03.30.15.56.16
Metadata Last Update2022:06.14.00.16.53 (UTC) administrator
Citation KeyCesarJrCost:1997:SeDeGe
TitleSemi-automated dendrogram generation for neural shape analysis
Year1997
Access Date2024, May 03
Number of Files1
Size100 KiB
2. Context
Author1 Cesar Junior, Roberto Marcondes
2 Costa, Luciano da Fontoura
EditorFigueiredo, Luiz Henrique de
Netto, Marcio Lobo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 10 (SIBGRAPI)
Conference LocationCampos de Jordão, SP, Brazil
DateOct. 1997
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Pages147-154
Book TitleProceedings
Tertiary TypeFull Paper
OrganizationSBC - Sociedade Brasileira de Computação; USP - Universidade de São Paulo
History (UTC)2008-07-17 14:17:56 :: administrator -> banon ::
2008-08-26 15:26:28 :: banon -> administrator ::
2009-08-13 20:36:06 :: administrator -> banon ::
2010-08-28 20:04:51 :: banon -> administrator ::
2022-06-14 00:16:53 :: administrator -> :: 1997
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsshape analysis
multiscale curvature
neuromorphometry
syntatic methods
dendrograms
AbstractThis work introduces a new framework for shape characterization of neural cells by semi-automated generation of dendrograms, which are abstract structures describing different aspects associated to the branching nature of dendrites in neurons. Particularly, the dendrograms generated by the proposed method represents the branching structure of neurons in terms of the length of each dendritic segment. The new method, which is based on multiscale curvature contour segmentation and syntactic shape analysis, is robust and greatly improve the tiresome task of dendrogram extraction, traditionally performed by human operators. Results corroborating the effectiveness of the technique are also presented.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 1997 > Semi-automated dendrogram generation...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Semi-automated dendrogram generation...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/83LX3pFwXQZW44Lb/cBndb
zipped data URLhttp://urlib.net/zip/83LX3pFwXQZW44Lb/cBndb
Languageen
Target Fileart10.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46RL7SS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.08.23.46 7
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
NotesThe conference was held in Campos de Jordão, SP, Brazil, from October 13 to 16.
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