Box-Counting and Multifractal Analysis in Neuronal and Glial Classification View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2013

AUTHORS

Herbert F. Jelinek , Nebojša T. Milošević , Audrey Karperien , Bojana Krstonošić

ABSTRACT

Fractal analysis in the neurosciences has advanced over the past twenty years. The fractal dimension, besides its ability to discriminate among different cell types, can work as a reliable parameter in cell classification. A qualitative analysis of the morphology of neurons and glia cell types involves a detailed description of the structure and features of cells, and accordingly, their classification into defined classes and types. This paper outlines how fractal analysis can be used for further quantitative classification of these cell types using box-counting and multifractal analysis. More... »

PAGES

177-189

Book

TITLE

Advances in Intelligent Control Systems and Computer Science

ISBN

978-3-642-32547-2
978-3-642-32548-9

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-32548-9_13

DOI

http://dx.doi.org/10.1007/978-3-642-32548-9_13

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1022764042


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