ANN Approach Based on Back Propagation Network and Probabilistic Neural Network to Classify Brain Cancer
Shweta Jain1, Shubha Mishra2
1Shweta Jain, M.Tech 4 thSem, Department of IT, LNCT Bhopal (M.P), India.
2Shubha Mishra, Department of IT, LNCT Bhopal (M.P), India.
Manuscript received on 8 August 2013 | Revised Manuscript received on 18 August 2013 | Manuscript Published on 30 August 2013 | PP: 101-105 | Volume-3 Issue-3, August 2013 | Retrieval Number: C1110083313/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper presents the artificial neural network approach namely Back propagation network (BPNs) and probabilistic neural network (PNN). It is used to classify the type of tumor in MRI images of different patients with Astrocytoma type of brain tumor. The image processing techniques have been developed for detection of the tumor in the MRI images. Gray Level Co-occurrence Matrix (GLCM) is used to achieve the feature extraction. The whole system worked in two modes firstly Training/Learning mode and secondly Testing/Recognition mode.
Keywords: Brain Cancer, MRI, Gray Level Co-occurrence Matrix, Texture Features, Back Propagation Network and Probabilistic Neural Network.
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