Improvement Categorizing MRI Images Using the Neural Network
The IJNCPS's Authors that presented the article:
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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