Jundishapur Journal of Health Sciences

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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.

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
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