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Published in:

Volume 5 Issue 8
August-2018
eISSN: 2349-5162

Unique Identifier

JETIR1808840

Page Number

571-578

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Title

An Efficient Technique for Brain Tumor Detection Based on Naïve Bayes (BT) Classification in MR Images

ISSN

2349-5162

Cite This Article

"An Efficient Technique for Brain Tumor Detection Based on Naïve Bayes (BT) Classification in MR Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.571-578, August-2018, Available :http://www.jetir.org/papers/JETIR1808840.pdf

Abstract

The brain tumor detection is the approach which can detect the tumor portion from the MRI image. To detect tumor from the image various techniques has been proposed in the previous times. The technique which is proposed in this research paper is based on morphological scanning and naïve bayes classification. The morphological scanning will scan the input image and naïve bayes classifier mark the tumor portion from the MRI image. The proposed algorithm is implemented in MATLAB and results are analyzed in terms of PSNR, MSE and accuracy and fault rate.

Key Words

MRI, Naïve Bayes, Morphological Scanning, Brain Tumor

Cite This Article

"An Efficient Technique for Brain Tumor Detection Based on Naïve Bayes (BT) Classification in MR Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp571-578, August-2018, Available at : http://www.jetir.org/papers/JETIR1808840.pdf

Publication Details

Published Paper ID: JETIR1808840
Registration ID: 187416
Published In: Volume 5 | Issue 8 | Year August-2018
DOI (Digital Object Identifier):
Page No: 571-578
ISSN Number: 2349-5162

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Cite This Article

"An Efficient Technique for Brain Tumor Detection Based on Naïve Bayes (BT) Classification in MR Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp571-578, August-2018, Available at : http://www.jetir.org/papers/JETIR1808840.pdf




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