Chromatographic pattern classification

IEEE Transactions on Bio-medical Engineering
António V SousaAurélio Campilho

Abstract

In this paper, we propose and evaluate methodologies for the classification of images from thin-layer chromatography. Each individual sample is characterized by an intensity profile that is further represented into a feature space. The first steps of this process aim at obtaining a robust estimate of the intensity profile by filtering noise, reducing the influence of background changes, and by fitting a mixture of Gaussians. The resulting profiles are represented by a set of appropriate features trying to characterize the state of nature, here spread out over four classes, one for normal subjects and the other three corresponding to lysosomal diseases, which are disorders responsible for severe nerve degeneration. For classification purposes, a novel solution based on a hierarchical structure is proposed. The main conclusion of this paper is that an automatically generated decision tree presents better results than more conventional solutions, being able to deal with the natural imbalance of the data that, as consequence of the rarity of lysosomal disorders, has very few representative cases in the disease classes when compared with the normal population.

References

Jul 26, 2003·Analytical Sciences : the International Journal of the Japan Society for Analytical Chemistry·Audrey A S G LonniDalva T Ferreira
Dec 20, 2003·European Journal of Human Genetics : EJHG·Rui PintoM C Sá Miranda
Mar 10, 2004·Analytical and Bioanalytical Chemistry·Simeone ZomerMelissa Hanna-Brown
Feb 22, 2005·Computer Methods and Programs in Biomedicine·I BajlaM Kollár
Feb 6, 2008·IEEE Transactions on Neural Networks·M SkurichinaR W Duin

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Citations

Oct 31, 2013·Computational and Mathematical Methods in Medicine·Bruno MoreiraAurélio Campilho
Mar 3, 2010·Annual Review of Plant Biology·Vijay ChickarmaneElliot M Meyerowitz
May 17, 2011·IEEE Transactions on Bio-medical Engineering·Christos F MaramisAlexandros F Lambropoulos

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