Abstract
A study of brain tumor detection has been done by making use of backpropagation neural networks with Gray Level Co-Occurrence Matrix (GLCM) feature extraction. CT-Scan images of the brain consist of 12 normal and 13 abnormal (tumor) brain images are analyzed. The preprocessing stage begins with cropping the image to a 256 x 256 pixels picture, then converting the colored images into grayscale images, and equalizing the histogram to improve the quality of the images. GLCM is used to calculate statistical features determined by 5 parameters i.e., contrast, correlation, energy and homogeneity for each direction. In these backpropagation neural networks, the [12 2 1] architecture is used. The correlation coefficient between the target and the output for the training data is 0.999, while the correlation coefficient for the testing data is 0.959 with an accuracy of 70%. The results of this research indicate that backpropagation neural networks can be used for the detection of brain tumors.
Highlights
Brain tumor is the second most deadly disease for men between the age of 20-30 years and is the fifth most deadly disease for women between the age of 20-30 years (ABTA, 2012)
Computed Tomography Scanner (CT-Scan) image analysis of brain tissue has to be very accurate so the appropriate therapy needed to cure the brain tumor can be performed
The histogram is created from the grayscale image to get the information of gray level distribution
Summary
Brain tumor is the second most deadly disease for men between the age of 20-30 years and is the fifth most deadly disease for women between the age of 20-30 years (ABTA, 2012). According to data from the International Agency for Research on Cancer, more than 126,000 people in the world suffer from brain tumors each year and more than 97,000 people die due to this disease (Al-Tamimi, MSH, 2014). A medical device that can be used to detect brain tumor is Computed Tomography Scanner (CT-Scan) (Ravenel, 2003). CT Scan uses X-rays to produce an image of human organs. CT-Scan image analysis of brain tissue has to be very accurate so the appropriate therapy needed to cure the brain tumor can be performed
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
