Contourlet based Brain Tumor Classification

— In this paper we proposed a new method for Brain Tumor classification using Probabilistic neural network with contourlet
transformation. The conventional methods like Computerized Tomography and Magnetic Resonance Images are based on human
inspection for tumor classification and detection. These methods are inefficient and are also non reproducible for large amount of data.
Also, those methods includes noise due to operator performance which creates serious inaccuracies in tumor classification. Neural
Networks shows good results in medical diagnosis which is combined here with contourlet transform . Decision making is based on two
steps (i) Image reduction and Feature extraction using contourlet transform (ii) Classification using probabilistic Neural
Network(PNN). Performance evaluation on various brain tumor images shows fast and better recognition rate and also low
computational requirements, when compared to pre vious classifiers.