Breast cancer detection in mammograms using Wavelet and Contourlet transformations

被引：0
|
作者：
Nasiri, Yousef [1 ]
Hariri, Mandi [1 ]
Afzali, Mandi [1 ]
机构：
[1] Islamic Azad Univ, Zanjan Branch, Dept Elect & Comp Engn, Zanjan, Iran
来源：
2015 2ND INTERNATIONAL CONFERENCE ON KNOWLEDGE-BASED ENGINEERING AND INNOVATION (KBEI) | 2015年
关键词：
Breast cancer; mammography; Wavelet; Contourlet; Support Vector Machine;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Breast cancer is one of the most common causes of death among women around the world. Mammography is considered the most effective method for early detection of breast cancer. It is difficult for radiologists to detect breast tumor in mammographic pictures. In this study, we propose a method for classifying the mammograms based on support vector machine by using feature extraction technics in image processing. Feature vectors are created by applying Wavelet and contourlet transformations on mammograms. Then Classification is done using support vector machine. The experiments results show that the performance of the proposed method is noticeable in comparison with the others.
引用
收藏
页码：923 / 926
页数：4
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