PROPOSING AN EFFICIENT METHOD FOR CATEGORIZING BRAIN MRI IMAGES BASED ON PATTERN RECOGNITION TECHNIQUES AND USING NEURAL NETWORK

The present study was aimed to identify the sick from the healthy persons based on a set of MRI images through using image categorization algorithms. Furthermore, this research tries to categorize images through the application of neural networks' pattern recognition technics and, to propose a model with adequate precision and efficiency for categorization of images that could be used for determining both the normality and abnormality of MRI images of the brain and, the cause of illness. The software of Clemente and MATLAB were used for simulation purposes.