An efficient and automatic glioblastoma brain tumor detection using shift-invariant shearlet transform and neural networks-Reference-Cited by-同舟云学术

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An efficient and automatic glioblastoma brain tumor detection using shift-invariant shearlet transform and neural networks

Published:2017-08-17 Issue:3 Volume:27 Page:216-226
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int. J. Imaging Syst. Technol.

Author:

Arunachalam Murugan¹^ORCID,Royappan Savarimuthu Sabeenian²

Affiliation:

1. Department of Electronics and Communication Engineering; Excel College of Engineering and Technology; Namakkal 637303 India

2. Department of Electronics and Communication Engineering; Sona College of Technology; Salem 636005 India

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/ima.22227/fullpdf

Reference18 articles.

1. http://www.who.int/mediacentre/factsheets/fs297/en/

2. Earlier detection of cancer regions from MR image features and SVM classifiers;Rajaguru;Int J Imag Syst Technol.,2016

3. Brain tumour classification using two-tier classifier with adaptive segmentation technique;Anitha;IET Computer Vision.,2016

4. Image analysis for MRI based brain tumor detection and feature extraction using biologically inspired BWT and SVM;Bahadure;Int J Biomed Imag.,2017

5. Salwe S Raut R Hajare P. 2016 256 260

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