TITLE:
Algorithms for Chromosome Classification
AUTHORS:
Wenzhong Yan, Lei Bai
KEYWORDS:
Chromosome; Classification; ANN; Wavelet; M-FISH
JOURNAL NAME:
Engineering,
Vol.5 No.10B,
December
17,
2013
ABSTRACT: Automated chromosome classification has been an
important pattern recognition problem for decades. In order to im-prove
the performance of automated chromosome classification, artificial intelligence
and machine learning methods have been widely used in the computer-assisted
chromosome detection and classification systems. This paper is focused on these
algorithms, especially on artificial neural network (ANN) and wavelet transform
algorithms. The principle and the realization of these
algorithms are analyzed. Results of these algorithms are compared and discussed.