International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
May. 2022
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 111
Paper Published : 1546
No. of Authors : 4203
  Journal Paper


Paper Title :
Feature Extraction And Classification Of FMRI Images

Author :Ashish Panat, Anita Patil, Rohini Chauhan

Article Citation :Ashish Panat ,Anita Patil ,Rohini Chauhan , (2014 ) " Feature Extraction And Classification Of FMRI Images " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 51-55, Volume-2,Issue-10

Abstract : Functional magnetic resonance imaging (fMRI) is widely used to identify neural correlates of cognitive tasks. Statistical features like Correlation and Entropy are extracted from fMRI images of human brain of emotional and normal state of mind. The features are based on texture properties of fMRI images. The features so extracted are classified using GMM and kNN classifiers to help distinguish between normal and emotional state of human brain.

Type : Research paper

Published : Volume-2,Issue-10


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