Contourlet based Brain Tumor Classification
Journal Title: International Journal of Scientific Research and Management - Year 2014, Vol 2, Issue 9
Abstract
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 als o non reproducible for large amount of data. Also, those methods includes noise due to operator performance which creates serious inaccuracies in tumor classification. Ne ural Networks shows good results in medical diagnosis which is combined here with cont ourlet transform . Decision making is based on two steps (i) Image reduction and Feature extraction using contourlet transform (ii) Classification using proba bilistic 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
Authors and Affiliations
K. Manju
Keywords
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