Improvement Categorizing MRI Images Using the Neural Network

The IJNCPS's Authors that presented the article:

  • Ghazal Davoudi Department of Computer Engineering, Ahvaz Branch, Islamic Azad University, Ahwaz, Iran
  • Seyyed Enayatollah Alavi Assistant Professor, Department of Computer Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahwaz, Iran
Keywords: neural networks, algorithm, MRI, grouping, pattern recognition technics, feature extraction

Abstract

The present study was aimed to identify the sick from the healthy persons based on a set of MRI images through using image categorization algorithms.  Furthermore, this research tries to categorize images through the application of neural networks' pattern recognition technics and, to propose a model with adequate precision and efficiency for categorization of images that could be used for determining both the normality and abnormality of MRI images of the brain and, the cause of illness. Pre-processing on data using software rapidminerand in the process of extracting the featuresfrom histogram, wavelet, coincidence matrix, fourire transform…. Feature selection is performed by the interact algorithm. Finally, the image processing process is performed using the neural network.  The software of Clemente and MATLAB were used for simulation purposes.

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Published
2018-01-21