The paper explores the field of medical image analysis through the use of ANN algorithms. The processing is carried out on MRI images which would be helpful in detecting brain tumor tissues through the revelation of infected tissues in the image. After the preprocessing of image, features are extracted from spatial domain and are separately fed to the algorithms. This process requires calculation of co-occurrence matrices of the template (size 3×3) from the image. The outputs obtained after these processes are subjected to segmentation technique. The comparison is done by determining the sensitivity and the specificity of the segmented image with reference to the manually segmented image. The algorithms implemented are Radial Basis Function (RBF) and Support Vector Machine (SVM). The important step in RBF is to determine centroids and width of the clusters. For this purpose, k-means clustering is used. The basis function used for RBF is Gaussian and for learning backpropagation is used. In SVM, kernel function used is linear function. (5 pages)