Abstract
Image segmentation, is a basic task in image treatment which measures the success of high-level standards of image treatment. This paper focuses on the efficiency of Otsu thresholding and k-means clustering algorithm, as segmentation technique, in predicting the survival rate as well as life expectancy of breast-cancer patients