Microcalcification Feature Selection in Mammograms Using Genetic Algorithm
Shangkai Gao · Dianzi Ke-ji Daxue xuebao · 2007
Microcalcifications include many redundant and irrelated features, which degrade the microcalcifications classification performance. So, feature subset selection becomes one of the important research issues in the process of microcalcification identification. In view of the deficiencies in traditional combination optimization method, an algorithm of feature subset selection based on genetic algorithm is proposed in this paper. According to the results of practical microcalcification classification example, it is proved that this method possess excellent parallelism and optimization performance.