title: A Survey Of Current Image Segmentation Techniques For Detection Of Breast Cancer

abstract

Breast cancer is one of the most common forms of cancer for women. Accuracy rate of breast cancer in mammograms depend on the segmentation of images. Mammography is especially used only in the breast tumor detection Mammogram breast cancer images have the ability to assist physicians in detecting disease caused by cells normal growth. The goal of segmentation is to simplify and or change the representation of an image into something that is more meaningful and easier to analyze, but the same time image segmentation is very difficult job in the image processing. The main aim of this paper is to review existing approaches of preprocessing and current segmentation techniques in mammographic images. The objective of preprocessing is to improve the image quality, removing the irrelevant noises and unwanted parts in the background of the  mammogram. There are different types of segmentation algorithms for mammogram image. Their advantages and disadvantages are discussed.