Breast cancer diagnosis using wavelet and fuzzy logic

Breast cancer (BC) is one of the important general health problem in the world. There are two types of Breast Cancer; benign breast cancer and malignant breast cancer .In this paper we suggest a new algorithm to diagnosis the two types of BC. Our algorithm has three steps; the first step is preprocessing ,then feature extraction by using wavelet transform and the results from the wavelet transform minimized by using standard division this is for second step and the third step is for diagnosis by using Fuzzy logic , the results from our algorithm are 98%. The data base usedfrom