Brain tumor detection using supervisory nearest neighbor algorithm

Uncontrolled growth of irregular mass that might develop into a lump in any portion of the body is a tumor, when it grows in the brain it is a brain tumor. Many researchers have developed brain tumor detection algorithms using Unsupervisory techniques. Statistical parameters like Sensitivity, accuracy etc. for the Unsupervisory techniques is lower than the Supervisory techniques. Supervisory based Nearest Neighbor (NN) algorithm has been developed with the different distance metrics like sum, maximum and Euclidian. From statistical parameters calculations, it is observed that NN classifier with Euclidian distance metric yields excellent results than Sum and Max distance metrics.