MATLAB based Brain Tumour Extraction using Artificial Neural Network

Brain tumour is the major cause of mortality among children and adults. The chance of survival can be greater when the tumour is detected correctly at its early stage. This paper presents a neural network techniques for the classification of magnetic resonance brain image. The proposed technique consists of three stages, features extraction from gray scale MR Image using gray level co-occurrence matrix, MR image segmentation using k-mean clustering method and classification of MR Image into normal and abnormal (tumourous) image using feed-forward neural network. This technique have been developed on MATLAB version 7.5.0 platform