A Survey on Evolutionary Algorithms for Medical Brain Images


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Dincer N. , Orman Z.

in: Computer Vision and Recognition Systems Research Innovations and Trends, Chiranji Lal Chowdhary,G. Thippa Reddy,B. D. Parameshachari, Editor, CRC, New York , Burlingon, pp.121-148, 2022

  • Publication Type: Book Chapter / Chapter Research Book
  • Publication Date: 2022
  • Publisher: CRC, New York 
  • City: Burlingon
  • Page Numbers: pp.121-148
  • Editors: Chiranji Lal Chowdhary,G. Thippa Reddy,B. D. Parameshachari, Editor

Abstract

Evolutionary algorithms (EAs) are the subject of artificial intelligence studies in computer science. These algorithms which simulate the change in nature are applied to traditional computer algorithms. Some of the EAs that adopt this idea are genetic algorithms (GAs), bee colony algorithm, Firefly algorithm (FA), particle swarm optimization algorithm (PSO), bacteria foraging algorithm, etc. EAs are used in many fields such as computer networks, image processing, artificial intelligence, cluster analysis. In this chapter, the studies that are conducted between 2014 and 2019 on the application of EAs to 2D MR images are examined according to in which stage of image processing these algorithms are used, the publication year of the articles, and classification of accuracy rates.