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(Reference retrieved automatically from Google Scholar through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Neuromorphometric characterization with shape functionals

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Author(s):
Barbosa‚ M.S. ; da Fontoura Costa‚ L. ; de Sousa Bernardes‚ E.
Total Authors: 3
Document type: Journal article
Source: Physical Review E; v. 67, n. 6, p. 061910, 2003.
Abstract

This work presents a procedure to extract morphological information from neuronal cells based on the variation of shape functionals as the cell geometry undergoes a dilation through a wide interval of spatial scales. The targeted shapes are alpha and beta cat retinal ganglion cells, which are characterized by different ranges of dendritic field diameter. Image functionals are expected to act as descriptors of the shape, gathering relevant geometric and topological features of the complex cell form. We present a comparative study of classification performance of additive shape descriptors, namely, Minkowski functionals, and the nonadditive multiscale fractal. We found that the proposed measures perform efficiently the task of identifying the two main classes alpha and beta based solely on scale invariant information, while also providing intraclass morphological assessment. (AU)

FAPESP's process: 96/05497-3 - Pesquisa em visão cibernética
Grantee:Luciano da Fontoura Costa
Support Opportunities: Research Grants - Young Investigators Grants
FAPESP's process: 99/12765-2 - Development and assessment of novel and accurate methods in shape analysis and computer vision
Grantee:Luciano da Fontoura Costa
Support Opportunities: Research Projects - Thematic Grants