“DETECTION OF BRAIN TUMOR TYPE USING ARTIFICIAL NEURAL NETWORK AND MACHINE LEARNING”

Abstract

Brain tumor classification using conventional techniques involving human intervention is prone to errors. Errors in feature extraction and/or classification may turn out to be fatal. Hence focus has shifted on automated techniques for the feature extraction and classification of brain tumor images. Three categories have been incorporated in the present work, viz. normal brain, brain with benign tumor and brain with malignant tumor. In the present case, MRI images of the brain have been used to train an Artificial Neural Network which subsequently predicts the category of some new MRI data. The key challenge in designing such a system is attaining high accuracy of classification. This can be achieved by accurate feature extraction mechanism and then designing an appropriate Neural Network for training and testing. Keywords: Brain Tumor Classification, Machine Learning, Artificial Neural Networks, Probabilistic Neural Network, Classification Accuracy.