Application of MultiScale Hidden Markov modeling wavelet coefficients to fMRI activation detection.(Report): An article from: Journal of Mathematics and Statistics

This digital document is an article from Journal of Mathematics and Statistics, published by Science Publications on October 1, 2008. The length of the article is 5729 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.

From the author: Key words: Functional magnetic resonance imaging (fMRI), wavelet analysis, image segmentation, hidden Markov model, spatial-temporal modeling

Citation Details
Title: Application of MultiScale Hidden Markov modeling wavelet coefficients to fMRI activation detection.(Report)
Author: Fangyuan Nan
Publication:Journal of Mathematics and Statistics (Magazine/Journal)
Date: October 1, 2008
Publisher: Science Publications
Volume: 4 Issue: 4 Page: 255(9)

Article Type: Report

Distributed by Gale, a part of Cengage Learning