Mass detection and classification in breast ultrasound images using fuzzy SVM

Abstract

Breast cancer is the leading cause of death of women in United States. Currently the effective method for early detection and screening of breast cancers is X-ray mammography. But the high rate of false positives in mammography causes a large number of unnecessary biopsies. Sonography is an important adjunct to mammography in breast cancer detection. The accuracy rate of breast ultrasound can reach a high level in the diagnosis of simple benign cysts and reduce the number of false positives. We develop a novel CAD system for mass detection and classification in breast ultrasound images based on the fuzzy SVM. The experimental results show that the proposed CAD system greatly improves the five objective indices in comparison with other classification methods and the radiologist assessment.