期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2012
卷号：3
期号：3
页码：1179-1182
出版社：Technopark Publications
摘要：Magnetic Resonance Imaging (MRI) is the state-of the-art medical imaging technology which allows cross sectional view of the body with unprecedented tissue contrast. There are many difficult problems in the field of pattern recognition. These problems are the focus of much active research in order to find efficient approaches to address them. We have tried to address the problem of classification MRI brain images by creating a robust and more accurate classifier which can act as an expert assistant to medical practitioners. MRI plays an important role in assessing pathological conditions of the ankle, foot and brain.In proposed methodology supervised neural networks Back Propagation Algorithm (BPA) has been used. The features of magnetic resonance images have been reduced, using principal component analysis (PCA), to the more essential features. The proposed technique has been carried out over a larger database as compare to any previous work and is more robust and effective
关键词：Magnetic Resonance Image(MRI) ; Principal Component Analysis (PCA); Back Propagation (BP); Multi Layer Neural Network
