Affiliation:
1. Department of Computer Application; R.V.S. College of Engineering & Technology; Dindigul Tamilnadu India
2. Department of Information Technology; K.L.N. College of Engineering; Sivaganga Tamilnadu India
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials
Reference16 articles.
1. Different multivariate techniques for automated classification of MRI data in Alzheimer's disease and mild cognitive impairment;Aguilar;Psychiatry Res Neuroimaging,2013
2. An Intelligent Model for Automatic Brain Tumor Diagnosis Based on MRI Images;Amien;Int J Comput Appl,2013
3. Brain tumor diagnosis systems based on artificial neural networks and segmentation using MRI;Amin;IEEE Int Conf Inf Syst,2012
4. Comparative study of brain tumor detection using K-means, fuzzy C means and hierarchical clustering algorithms;Bhagwat;Int J Sci Eng Res,2013
5. Segmentation of medical image using clustering and watershed algorithms;Christ;Am J Appl Sci,2011
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