Enhanced and Effective Computerized Multi Layered Perceptron based Back Propagation Brain Tumor Detection with Gaussian Filtering

摘要

MRI (Medical Resonance Images) is used for brain tumor detection which also involves very difficulty in distinguishing normal and abnormal tissues of a brain for neurosurgeons. An automated Tumor detection technique is proposed which aids neurosurgeons in detecting brain tumors. A Gaussian Filtering with MLP (Multi-Layer Perceptron)-Based BPNN (Back Propagation Neural Network) is proposed which produces better accurate results in detecting the brain tumor with an accuracy rate of 93% when compared with other Classifiers like PNN (Probabilistic Neural Network) and SVM (Support Vector machine).