Engineering
Volume 5, Issue 10 (October 2013)
ISSN Print: 1947-3931 ISSN Online: 1947-394X
Google-based Impact Factor: 0.66 Citations
Algorithms for Chromosome Classification ()
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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.
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