计算机工程与应用2012，Vol.48Issue(2)：218-221,4.DOI:10.3778/j.issn.1002-8331.2012.02.063
动态多分类器集成在肺结节辅助检测中的应用
Lung nodule detection based on Dynamic Multiple Classifiers Selection ensemble algorithm
摘要
Abstract
A novel approach based on Dynamic Multiple Classifiers Selection(DMCS) ensemble algorithm is proposed based on the characteristics of diversity and inhomogeneity of the nodule lesions. The feature space is randomly divided into a number of feature sub-sets. Specifically, for different kinds of subset, more appropriate base classifier is selected based on their distributions. Then the results of the classifiers are ensembled for final decision. The experimental results demonstrate that the proposed algorithm achieves better per-formance than the typical and traditional nodule detection approaches.关键词
肺结节/动态多分类器选择/集成算法/计算机辅助检测Key words
lung nodule/ dynamic multiple classifiers selection/ integration algorithm/ computer aided detection分类
信息技术与安全科学引用本文复制引用
韩妍妍,冯筠,崔鑫,王秋萍..动态多分类器集成在肺结节辅助检测中的应用[J].计算机工程与应用,2012,48(2):218-221,4.基金项目
陕西省教育厅科学研究计划项目(No.11JK1026) （No.11JK1026）
陕西省科技计划攻关项目(No.2011K12-05-08) （No.2011K12-05-08）
西北大学研究生创新基金(No.09YZZ63). （No.09YZZ63）
