Mammography Based Classification of Benign and Malignant Masses Using Artificial Neural Network
Keywords:
Breast Cancer, Image Processing, Medical Image, Segmentation.Abstract
Artificial neural network has been broadly utilized as a part of different fields as a wise instrument as of
late, for example, artificial knowledge, design acknowledgment, medicinal determination, machine learning et cetera.
The characterization of breast disease is a therapeutic application that represents an awesome test for analysts and
researchers. As of late, the neural network has turned into a well-known device in the order of malignancy datasets.
Significant detriments of artificial neural network (ANN) classifier are because of its slow merging and continually being
caught at the neighborhood minima. In this paper we proposed a Nobel method for finding the breast cancer in the
patent. We have used artificial neural network to classify the disease. Our proposed mechanism effectively classify the
cancerous and non-cancerous mammogram of the female breast.