Research Journal of Applied Sciences

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Classificstion of Brain MRI Images Using Classifier Techniques Supported by Genetic and Fuzzy C-Means

Noor Kadhum Ayoob, Asraa Abdullah Hussein and Zainab Falah Hasan
Page: 1137-1142 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

Computer techniques play important role in medical fields, especially in the classification and disease diagnoses. In this study, Brain MRI is classified using many techniques. Back propagation neural network, K-nearest and K-means used for classifying these images into normal and abnormal after clustering images using fuzzy C-means and minimizing the extracted features by GLCM using genetic algorithm. The system shows high efficiency through practical experiments that proves that the accuracy of system is reached to 100% through back propagation neural network.

How to cite this article:

Noor Kadhum Ayoob, Asraa Abdullah Hussein and Zainab Falah Hasan. Classificstion of Brain MRI Images Using Classifier Techniques Supported by Genetic and Fuzzy C-Means.
DOI: https://doi.org/10.36478/rjasci.2016.1137.1142
URL: https://www.makhillpublications.co/view-article/1815-932x/rjasci.2016.1137.1142