UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 5
May-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1805843


Registration ID:
182896

Page Number

610-614

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Title

CLASSIFICATION OF NORMAL AND ABNORMAL BRAIN IN MR IMAGES

Abstract

Traditionally radiologists are fully responsible for detection of brain anomalies in the MR images of the human brain. As the wrong prognosis in the case of brain tumors can be life threatening, automatic classification of brain MR Images requires high accuracy and precise diagnosis. As human intervention in interpretation of brain MR images can be effected by the experience and knowledge of radiologist’s, automatic classification system is proposed for brain tumor MR image classification in order to assist them to have proper diagnosis. The present study discusses the effect of neural network (NN) algorithms for lesion classification. An MR Image data set which was benchmarked earlier was used in the present study. The results of experiments show that the present approach gives 96.5% accuracy using NN.

Key Words

Magnetic resonance (MR), Neural Network (NN), minimum Redundancy maximum Relevance (mRmR), Artificial Neural Network (ANN)

Cite This Article

"CLASSIFICATION OF NORMAL AND ABNORMAL BRAIN IN MR IMAGES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.610-614, MAY-2018, Available :http://www.jetir.org/papers/JETIR1805843.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"CLASSIFICATION OF NORMAL AND ABNORMAL BRAIN IN MR IMAGES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp610-614, MAY-2018, Available at : http://www.jetir.org/papers/JETIR1805843.pdf

Publication Details

Published Paper ID: JETIR1805843
Registration ID: 182896
Published In: Volume 5 | Issue 5 | Year May-2018
DOI (Digital Object Identifier):
Page No: 610-614
Country: Gurugram, Haryana, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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