Brain Tumor Segmentation using KMeans-FCM Hybrid Technique

Abstract

Automatic brain tumor segmentation and detection is always very challenging and difficult task with respect to accuracy which is more important as Brain surgery is a critical and complicated process. The medical professional can interpret Magnetic reasoning Images(MRI) but this task is time-consuming, error-prone and tedious. So automatic segmentation technique for robotic surgery is needed which is the unsolved challenging problem. In this paper study of the different algorithm used for the brain tumor segmentation is done and a hybrid algorithm of K-means and FCM algorithm is implemented. The result of proposed algorithm is compared with the individual results of K-means and FCM algorithm.