Artificial Neural Networks to aid defferentiation of Benign and Malignant Breast Tumors by Microwave Imaging

In this paper, we propose a method for discriminating between malignant and benign breast tumors, by exploiting the dielectric properties of these tumors. The proposed technique is based on neural networks approach. Simulation results are presented on a model developed using EM simulator (CST).