Breast cancer detection using image processing techniques

Abstract

Image processing is a widely used methodology in various medical sectors. Image processing involves performing some operations on images to extract some useful information. Image analysis is very helpful in the early detection of various cancers in which time factor is very crucial. The number of cases of breast cancer has increased worldwide. In this paper, breast cancer disease detection and its subsequent treatment has been discussed. In the proposed work, mammogram and MRI, the two important modalities, have been used to detect the tumorous portion more accurately. The tumorous part from the resultant image has been separated by different segmentation method such as edge detection and threshold method. Further different operators have been applied on resultant image and its quantitatively verified by performance measuring parameter entropy. The early detection of breast cancer can save life and make treatment less complex for medical practitioners.