
An Automated Approach for Segmentation of Brain MR Images using Gaussian Mixture Model based Hidden Markov Random Field with Expectation Maximization
Author(s) -
Saurabh Shah,
N. C. Chauhan
Publication year - 2015
Publication title -
journal of biomedical engineering and medical imaging
Language(s) - English
Resource type - Journals
ISSN - 2055-1266
DOI - 10.14738/jbemi.24.1411
Subject(s) - artificial intelligence , segmentation , computer science , markov random field , expectation–maximization algorithm , pattern recognition (psychology) , image segmentation , cluster analysis , mixture model , scale space segmentation , random field , hidden markov model , ground truth , gaussian , maximization , computer vision , mathematics , maximum likelihood , mathematical optimization , statistics , physics , quantum mechanics