Comparative performance analysis of state-of-the-art classification algorithms applied to lung tissue categorization.

In this paper, we compare five common classifier families in their ability to categorize six lung tissue patterns in high-resolution computed tomography (HRCT) images of patients affected with interstitial lung diseases (ILD) and with healthy tissue. The evaluated classifiers are naive Bayes, k-near...

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Bibliographic Details

Published in:	Journal of Digital Imaging Vol. 23; no. 1; pp. 18 - 31
Main Authors:	Depeursinge A, Iavindrasana J, Hidki A, Cohen G, Geissbuhler A, Platon A, Poletti P, Müller H
Format:	diagnostic images equations & formulas pictorial research tables/charts Journal Article
Published:	Springer Nature Feb2010
Online Access:	View this record in EBSCOhost