A Comparison of wavelet and curvelet for lung cancer diagnosis with a new Cluster K-Nearest Neighbor classifier

机译：新集群K最近邻分类的小波和曲瓣对肺癌诊断的比较

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This paper presents a comparison of wavelet and curvelet for lung cancer in term of diagnostic accuracy when each one is applied separately to the cluster K-Nearest neighbor classifier. Lung cancer is among the diseases that lead to high mortality rate globally. The computer aided diagnoisis system that is shown in this paper consists of a preprocessing state, a feature extraction stage (wavelet or curvelet), a feature selection stage and finally a classification stage. The results obtained on the x-ray dataset that was utilized suggest that wavelet produce better accuracy with low false positives and false negatives compared to curvelet.

机译：本文在诊断精度分别应用于簇K最近邻分类器时，本文介绍了肺癌的小波和曲面的比较。肺癌是在全球患有高死亡率的疾病中。本文示出的计算机辅助诊断系统包括预处理状态，特征提取阶段（小波或曲线），特征选择阶段，最后是分类阶段。在利用的X射线数据集上获得的结果表明，与曲线相比，小波通过低误报和假阴性产生更好的准确性。

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《WSEAS International Conference on Applied Mathematics》|2013年||共6页
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HAMADA R. H. AL-ABSI; BRAHIM BELHAOUARI SAMIR;
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中图分类 G20-53;
关键词
Lung cancer; Curvelet; Wavelet; Computer aided diagnosis; Feature selection; Cluster-k-NN;

机译：肺癌;Curvelet;小波;计算机辅助诊断;特征选择;cluster-k-nn;

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4. A Comparison of wavelet and curvelet for lung cancer diagnosis with a new Cluster K-Nearest Neighbor classifier [C] . HAMADA R. H. AL-ABSI, BRAHIM BELHAOUARI SAMIR WSEAS International Conference on Applied Mathematics . 2013

机译：新集群K最近邻分类的小波和曲瓣对肺癌诊断的比较
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A Comparison of wavelet and curvelet for lung cancer diagnosis with a new Cluster K-Nearest Neighbor classifier

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