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		<citationkey>CesarJrCost:1997:SeDeGe</citationkey>
		<title>Semi-automated dendrogram generation for neural shape analysis</title>
		<year>1997</year>
		<numberoffiles>1</numberoffiles>
		<size>100 KiB</size>
		<author>Cesar Junior, Roberto Marcondes,</author>
		<author>Costa, Luciano da Fontoura,</author>
		<editor>Figueiredo, Luiz Henrique de,</editor>
		<editor>Netto, Marcio Lobo,</editor>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 10 (SIBGRAPI)</conferencename>
		<conferencelocation>Campos de Jordão, SP, Brazil</conferencelocation>
		<date>Oct. 1997</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<pages>147-154</pages>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<organization>SBC - Sociedade Brasileira de Computação; USP - Universidade de São Paulo</organization>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<keywords>shape analysis, multiscale curvature, neuromorphometry, syntatic methods, dendrograms.</keywords>
		<abstract>This 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.</abstract>
		<language>en</language>
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		<notes>The conference was held in Campos de Jordão, SP, Brazil, from October 13 to 16.</notes>
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		<url>http://sibgrapi.sid.inpe.br/rep-/dpi.inpe.br/ambro/1998/03.30.11.50</url>
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