Karyotyping, a standard method for presenting pictures of the human chromosomes for diagnostic purposes, is a long standing, yet common technique in cytogenetics. In this paper we study an ensemble of machine-learning-type classifiers trained using wavelet coefficients of the Density Profile of the Chromosome. Moreover, we study the fusion of the wavelet-based method with a method trained using a set of features that describe the important characteristic bands of a chromosome. The fusion showed improved performance over results previously published in the literature.

L. Nanni, A. Lumini (2007). A wavelet-based method for designing an automatic karyotyping system. MULTIMEDIA CYBERSCAPE JOURNAL, 5, 1-6.

A wavelet-based method for designing an automatic karyotyping system

NANNI, LORIS;LUMINI, ALESSANDRA
2007

Abstract

Karyotyping, a standard method for presenting pictures of the human chromosomes for diagnostic purposes, is a long standing, yet common technique in cytogenetics. In this paper we study an ensemble of machine-learning-type classifiers trained using wavelet coefficients of the Density Profile of the Chromosome. Moreover, we study the fusion of the wavelet-based method with a method trained using a set of features that describe the important characteristic bands of a chromosome. The fusion showed improved performance over results previously published in the literature.
2007
L. Nanni, A. Lumini (2007). A wavelet-based method for designing an automatic karyotyping system. MULTIMEDIA CYBERSCAPE JOURNAL, 5, 1-6.
L. Nanni; A. Lumini
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/49146
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