Athira krishnan, R.Sivakumar
Breast cancer is one of the major causes for the increase in mortality among women, especially in developed countries. Micro calcifications in breast tissue is one of the most incident signs considered by radiologist for an early diagnosis of breast cancer, which is one of the most common forms of cancer among women. In this paper the thresholding algorithm is applied for the breast boundary identification and a tracking algorithm is introduced for pectoral muscle determination in Mammograms. Fuzzy C-means Clustering algorithm (FCM) and Artificial Bee colony algorithm is frequently used for image segmentation purpose. It has the advantage of giving good modeling results in many cases, although, it is not capable of specifying the number of clusters by itself.
Mammography, CAD, modified tracking algorithm, Fuzzy C-means clustering.