A new medical decision system to identify breast cancer

摘要

An improved computer system has been presented to classify the mass and identify the different stages of breast cancer using artificial neural network (ANN). In this paper, we extract texture and shape features. The accuracy of the proposed system is 99.5%. The images from Farabi digital database for screening mammography have been applied for the development of the proposed system. This later may provide precious information to radiologists.