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Statistics report
Aug. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 89
Paper Published : 1423
No. of Authors : 3841
  Journal Paper

Paper Title
Feature Extraction And Classification Of FMRI Images

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.


Author - Ashish Panat, Anita Patil, Rohini Chauhan

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| Published on 2014-09-30
   
   
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