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November Edition 2018

International Journal of Applied Information Systems solicits high quality original research papers for the November 2018 Edition of the journal. The last date of research paper submission is October 15, 2018.

Detection of Brain Cancer from MRI Images using Neural Network

Mohammad Badrul Alam Miah, Kulsum Akter Kana, Afroza Akter. Published in Artificial Intelligence

International Journal of Applied Information Systems
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Mohammad Badrul Alam Miah, Kulsum Akter Kana, Afroza Akter
10.5120/ijais2016451501
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  1. Mohammad Badrul Alam Miah, Kulsum Akter Kana and Afroza Akter. Article: Detection of Brain Cancer from MRI Images using Neural Network. International Journal of Applied Information Systems 10(5):6-11, February 2016. BibTeX

    @article{key:article,
    	author = "Mohammad Badrul Alam Miah and Kulsum Akter Kana and Afroza Akter",
    	title = "Article: Detection of Brain Cancer from MRI Images using Neural Network",
    	journal = "International Journal of Applied Information Systems",
    	year = 2016,
    	volume = 10,
    	number = 5,
    	pages = "6-11",
    	month = "February",
    	note = "Published by Foundation of Computer Science (FCS), NY, USA"
    }
    

Abstract

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.

Reference

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Keywords

Brain Cancer, GLCM, Moment Feature, Neural Network, Classification, Preprocessing.