Detection of malignant tissue in mammography image using morphology based segmentation technique

Abstract

Breast cancer is the leading cause of the death among the women. Mammography is the best diagnostic technique for the breast cancer. But not all breast cancer can be seen by mammogram. Although breast cancer can be mortal, people have the highest chances to survive if cancer could be detected at the early stages. But there are certain limitations of the segmentation technique it is difficult to find the effected region perfectly. The proposed work deals with an approach for extracting the malignant masses in the mammography image for the detection of earlier breast cancer. The steps involve in this work are removal of noise from the background information, thresholding and retrieving the largest region of interest, performing morphological operations and extracting the ROI and identifying the malignant masses from the image. This method is compared with Enhancement, edge detection, Region Growing, Watershed Transformation techniques and found more accurate, sensitive, and precise in comparison to the others.