Breast Cancer Detection Using Mammography
Gulzar Ali Khuwaja · 2006
Abstract:- The presence of microcalcification clusters in mammograms contributes evidence for the detection of early stages of cancer. In this paper, a low-cost and high-speed neural network based breast cancer detection algorithm is presented. The microcalcifications are extracted with an adaptive neural network that is trained with cancer/malignant and normal/benign breast mammograms and a best accuracy rate of 99 % for the classification of cancer/normal/benign is achieved.