A method of detection micro-calcifications in mammograms using wavelets and adaptive thresholds
Breast cancer is one of the most common malignant diseases among women, it is important to give patients early diagnose and treatment. Mammography has become the most effective way for detection of breast cancer, and it is sensitive to clustered micro-calcification which is the key characteristic of early breast tumors. In this paper, we propose a method of detection micro-calcification. We first select the regions of interest (ROI) from the whole breast area by using wavelet and adaptive thresholds according to each mammogram, which are the doubtful micro-calcification regions; then the ROIs are further analyzed by DOG filter to reduce false positive rate. Experimental results indicate that the proposed method can provide good detection performance.
mammogram micro-calcification wavelet
Wei Ping Li Junli Zhao Shanxu Lu Dongming Chen Gang
Department of Computer Science and Engineering, Zhejiang University, Hangzhou, China School of Information Science and Engineering of Ningbo University, Ningbo, China Department of Mathematics of Zhejiang University, Hangzhou, China
国际会议
上海
英文
2383-2386
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）