TY  - JOUR
T1  - Classificstion of Brain MRI Images Using Classifier Techniques
Supported by Genetic and Fuzzy C-Means
AU - Ayoob, Noor Kadhum AU - Hussein, Asraa Abdullah AU - Hasan, Zainab Falah 
JO  - Research Journal of Applied Sciences
VL  - 11
IS  - 10
SP  - 1137
EP  - 1142
PY  - 2016
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2016.1137.1142
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2016.1137.1142
KW  - Classification
KW  -GLCM
KW  -K-nearest
KW  -fuzzy C-means
KW  -genetic algorithm
KW  -K-means
KW  -neural network
AB  - 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.
ER  -