Jundishapur Journal of Health Sciences

Published by: Kowsar

Improvement in Classification Accuracy Rate Using Multiple Classifier Fusion Towards Computer Vision Detection of Malaria Parasite (Plasmodium vivax)

Leila Malihi 1 , Karim-Ansari Asl 1 , * and Abdolamir Behbahani 2
Authors Information
1 Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University, Ahvaz, IR Iran
2 Department of Entomology, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, IR Iran
Article information
  • Jundishapur Journal of Health Sciences: July 01, 2015, 7 (3); e25114
  • Published Online: July 25, 2015
  • Article Type: Research Article
  • Received: November 3, 2014
  • Revised: June 8, 2015
  • Accepted: June 15, 2015
  • DOI: 10.5812/jjhs.25114v2

To Cite: Malihi L, Asl K, Behbahani A. Improvement in Classification Accuracy Rate Using Multiple Classifier Fusion Towards Computer Vision Detection of Malaria Parasite (Plasmodium vivax), Jundishapur J Health Sci. 2015 ;7(3):e25114. doi: 10.5812/jjhs.25114v2.

Abstract
Copyright © 2015, Ahvaz Jundishapur University of Medical Sciences. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.
1. Background
2. Objectives
3. Materials and Methods
4. Results
5. Discussion
Acknowledgements
Footnotes
References
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