Intelligent Brain Tumor lesion classification and identification from MRI images using k-NN technique

The Magnetic Resonance Imaging (MRI), and Computed Tomography (CT) provides scanned images for Brain Tumor detection. Growth of abnormal cells in uncontrolled manner is tumor. The present paper proposed the classification and identification scores of brain tumor by using k-NN algorithm which is based on training of k. In this work Manhattan metric has applied and calculated the distance of the classifier. The algorithm has been implemented using the Lab View.