When solving the problem in Computer Assisted Detection by the approach of Pattern Recognition, the lesion data always exhibited high-dimensional and inhomogeneous, which makes most of the traditional classifiers can ...
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ISBN:
(纸本)9781424441990
When solving the problem in Computer Assisted Detection by the approach of Pattern Recognition, the lesion data always exhibited high-dimensional and inhomogeneous, which makes most of the traditional classifiers can not performance very well. In this paper, a novel approach based on the dynamicfeaturesubsetselection and the EM algorithm with Naive Bayesian classifier integration algorithm (DSFS+EMNB) is proposed. The experimental results demonstrated that this method significantly outperforms the other methods like SVM and other traditional classification methods in terms of average accuracy, as well as generality.
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