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Comparison of Particle Swarm Optimization and Weighted Artificial Bee Colony Techniques in Classification of Dementia Using MRI Images

  • N. Bharanidharan
  • Harikumar Rajaguru
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 30)

Abstract

Numerous soft computing techniques are used nowadays to analyze medical images, and diagnosis of disease is computerized. This paper compares the performance of Weighted Artificial Bee Colony and Particle Swarm Optimization in the diagnosis of dementia using MRI images. For analysis, cross-sectional MRI of 235 subjects collected from OASIS is used. By adjusting the weights for both optimization techniques in a proper manner, optimized results can be reached. These techniques classify the cross-sectional image into three categories and give almost equal Goodness Detection Ratio of 78% along with different regression ratios.

Keywords

Dementia PSO Weighted ABC Swarm optimization 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of ECEBannari Amman Institute of TechnologySathyamangalamIndia

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