ABSTRACT

Colorectal cancer is the third most commonly diagnosed cancer and the second leading cause of cancer death in men and women. Magnetic resonance imaging (MRI) established itself as the primary method for detection and staging in patients with colorectal cancer. In this paper MRI images of Colorectal cancer are used to detect the area and mean values of tumor area and distance from tumor area to other parts for staging the cancer. This paper describes algorithms for preprocessing, clustering and post processing of MRI images. The paper shows the implementation of algorithm for preprocessing using image enhancement techniques, clustering using adaptive k-means algorithm and post processing using image processing techniques in MATLAB.