Classification of Lesions in Brain MR Images using Probabilistic Neural Network Classifier

Classification of medical image forms one of the most important process in computer aided diagnosis and medical image applications. Classification of lesions in Brain MRI classification forms a complicated task due to its high complex and resolution in medical imaging. The proposed work consists of a novel classification method using Probabilistic Neural Network (PNN) classifier. The Neural Network (NN) training is done in all the layers of the network. The classification results identifies whether the given image is Normal or Benign or Malignant. PNN classifier is used for its fast speed on training and its simple structure. Finally the classified image is bounded so that the exact region which is detected will be identified.