A novel automatic tumor detection for breast cancer ultrasound Images
Breast cancer is one of the leading cause of death among women. Because of harmless and low cost, ultrasound is one of the most often used methods for breast cancer detection. However, tumor detection is very difficult in ultrasound images due to their specular nature and low quality of ultrasound images and most of the existing methods need to manually select ROI. In this paper, we proposed a novel automatic method for breast ultrasound (BUS) image tumor detection. We using the fuzzy logic theory and transform an US image into fuzzy domain. An iterative method is used to find threshold. The experimental results demonstrate that the proposed approach can automatically detect the tumor in BUS image with high accuracy. It can process low quality ultrasound image very well.
breast ultrasound images fuzzy logic tumor detection watershed
Ling Zhang Chencheng Huang Yuping Ren Fushan Liu
School of Computer Science and Technology, School of Mathematics Shandong University Jinan, Shandong School of Mathematics Shandong University Jinan, Shandong, China
国际会议
上海
英文
404-407
2011-07-26（万方平台首次上网日期，不代表论文的发表时间）