| 基于双树复数小波的肝脏疾病分类 |
| |
| 引用本文： | 姜慧,覃事刚.基于双树复数小波的肝脏疾病分类[J].电脑与信息技术,2011,19(2):17-20,63. |
| |
| 作者姓名： | 姜慧 覃事刚 |
| |
| 作者单位： | 湖南电气职业技术学院信息工程系; |
| |
| 基金项目： | 湖南省教育厅科研项目(10C0094); 湖南省科技计划项目(2010CK3049) |
| |
| 摘 要： | 文章利用双树复数小波提取纹理特征,结合遗传算法进行特征选择和优化,用KNN分类器设计出高精确度的肝脏疾病分类器.实验采用肝脏CT平扫图像,将肝脏疾病分为肝癌,血管瘤,肝硬化和脂肪肝.并通过对比实验证明了双树复数小波在特征提取方面的优势.
|
| 关 键 词： | 肝脏 平扫CT图像 双树复数小波 分类 |
Classification of Liver Lesions Based on Dual-tree Complex Wavelet |
| |
| JIANG Hui,QIN Shi-gang.Classification of Liver Lesions Based on Dual-tree Complex Wavelet[J].Computer and Information Technology,2011,19(2):17-20,63. |
| |
| Authors: | JIANG Hui QIN Shi-gang |
| |
| Affiliation: | JIANG Hui,QIN Shi-gang(Dept.of Information Engineering,Hunan Electrical College of Technology,Xiangtan 411101,China) |
| |
| Abstract: | This paper extracted texture features based on dual-tree complex wavelet.Combining the genetic algorithm to select and optimize the features,used KNN classifier to define an optimal computer-aided diagnosis(CAD) architecture for the classification of liver tissue from non-enhanced CT images into hepatocellular carcinoma,hemangioma,cirrhosis and fatty liver.Experimental results showed that dual-tree complex wavelet could improve the classification accuracy effectively. |
| |
| Keywords: | liver non-enhanced CT image dual-tree complex wavelet classification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
