Abstract
Multiplex in-situ hybridization (M-FISH) is a combinatorial labeling technique in which each chromosome is labeled with 5 fluors and a DNA stain and is used for chromosome analysis. Although M-FISH facilitates the visual detection of gross anomalies, misclassified pixels and cross-hybridization often makes manual examination difficult and introduces operator bias. The success of the technique largely depends on the accuracy of pixel classification. In this work we study the use of nonlinear Vector Median Filtering (VMF) methods to induce the accuracy of pixel classification. We have evaluated our methodology using a subset of images publicly available and the classifier was trained and tested on non-overlapping chromosome images. An overall accuracy of 74.13% is reported when introducing VMF.
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Karvelis, P.S., Fotiadis, D.I. (2007). Enhancement of Multispectral Chromosome Image Classification Using Vector Median Filtering. In: Akhgar, B. (eds) ICCS 2007. Springer, London. https://doi.org/10.1007/978-1-84628-992-7_7
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DOI: https://doi.org/10.1007/978-1-84628-992-7_7
Publisher Name: Springer, London
Print ISBN: 978-1-84628-990-3
Online ISBN: 978-1-84628-992-7
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