ENG  Vol.5 No.10 B , October 2013
Algorithms for Chromosome Classification
Author(s) Wenzhong Yan*, Lei Bai

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.

Cite this paper
Yan, W. and Bai, L. (2013) Algorithms for Chromosome Classification. Engineering, 5, 400-403. doi: 10.4236/eng.2013.510B081.

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