Design and Analysis of Breast Cancer Detection System Using Mammogram Features Extraction

Abstract- Breast cancer is the most frequently diagnosed among women. Mammogram is a radiograph of the breast tissue and is one of the most effective, non-invasive methods of detecting breast cancer in its earliest and most treatable stage This paper aims at designing a breast cancer detection system based on Artificial Neural Network (ANN) and Image Processing Techniques in digital mammography. The effectiveness of the ANN based detection system will be investigated for different number of layers and optimum number of layers will be chosen. The performance of the system will be analyzed on the basis of Mean Square Error (MSE)