|International Journal of Applied Information Systems
|Foundation of Computer Science (FCS), NY, USA
|Volume 10 - Number 5
|Year of Publication: 2016
|Authors: Mohammad Badrul Alam Miah, Kulsum Akter Kana, Afroza Akter
Mohammad Badrul Alam Miah, Kulsum Akter Kana, Afroza Akter . Detection of Brain Cancer from MRI Images using Neural Network. International Journal of Applied Information Systems. 10, 5 ( February 2016), 6-11. DOI=10.5120/ijais2016451501
Magnetic Resonance imaging (MRI) is a test that uses a magnetic field and pulses of radio wave energy to make pictures of organs and structures inside the body. MRI can detect a variety of conditions of the brain such as cysts, tumors, bleeding, swelling, developmental and structural abnormalities, infections, inflammatory conditions, or problems with the blood vessels. It can detect the damage of brain caused by an injury or a stroke. So, the proposed system use Magnetic Resonance Imaging images which is preprocessed by using filtering technique. Then some important features has been extracted as GLCM feature, Entropy, Moment features, area, mean, standard deviation, correlation coefficient features has been calculated. Then the proposed system has been trained the Neural Network and tested with known brain images. Then the accuracy of the proposed system has been measured which is very much effective than other existing methods.