Breast Cancer Detection in Mammograms based on Clustering Techniques- A Survey
Ramachandran Ramani, S. Valarmathy, N. Suthanthira Vanitha · International Journal of Computer Applications · 2013
Cancer is one of the most leading causes of deaths among the women in the world.Among the cancer diseases, breast cancer is especially a concern in women.Mammography is one of the methods to find tumor in the breast, which is helpful for the doctor or radiologists to detect the cancer.Doctor or radiologists can miss the abnormality due to inexperience's in the field of cancer detection.Segmentation is very valuable for doctor and radiologists to analysis the data in the mammogram.Accuracy rate of breast cancer in mammogram depends on the image segmentation.This paper is a survey of recent clustering techniques for detection of breast cancer.These fuzzy clustering algorithms have been widely studied and applied in a variety of application areas.In order to improve the efficiency of the searching process clustering techniques recommended.In this paper, we have presented a survey of clustering techniques.