Feature selection for the classification of traced neurons.

Abstract

BACKGROUND The great availability of computational tools to calculate the properties of traced neurons leads to the existence of many descriptors which allow the automated classification of neurons from these reconstructions. This situation determines the necessity to eliminate irrelevant features as well as making a selection of the most appropriate among… (More)
DOI: 10.1016/j.jneumeth.2018.04.002

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