A complete automated algorithm for segmentation of tissues and identification of tumor region in T1, T2, and FLAIR brain images using optimization and clustering techniques-Reference-Cited by-同舟云学术

A complete automated algorithm for segmentation of tissues and identification of tumor region in T1, T2, and FLAIR brain images using optimization and clustering techniques

Published:2014-11-18 Issue:4 Volume:24 Page:313-325
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int. J. Imaging Syst. Technol.

Author:

Govindaraj Vishnuvarthanan¹,Murugan Pallikonda Rajasekaran²

Affiliation:

1. Department of Instrumentation and control Engineering; Kalasalingam University; Anand Nagar, Krishnankoil-626 126, Srivilliputtur, Virudhunagar, Tamil Nadu, India

2. Department of Electronics and Communication Engineering; Kalasalingam University; Anand Nagar, Krishnankoil-626 126, Srivilliputtur, Virudhunagar, Tamil Nadu, 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.22108/fullpdf

Reference30 articles.

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3. Automated segmentation of multiple sclerosis lesions in multispectral MR imaging using fuzzy clustering;Boudraa;Comput Biol Med,2000

4. Evaluating the impact of different factors on voxel-based classification methods of ADNI structural MRI brain images;Casanova;Int J Biomed Data Mining,2011

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