A novel automatic tumor detection for breast cancer ultrasound Images

Abstract

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.