ArticleComputers in biology and medicine2021
Ant colony optimization with Cauchy and greedy Levy mutations for multilevel COVID 19 X-ray image segmentation.
Article in Computers in biology and medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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21 citing papers in PubMed.
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- A multi-swarm greedy selection enhanced fruit fly optimization algorithm for global optimization in oil and gas production.PloS one · 2025Article
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- Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation.Journal of bionic engineering · 2023Article
- Efficient COVID-19 super pixel segmentation algorithm using MCFO-based SLIC.Journal of ambient intelligence and humanized computing · 2023Article
- Multi-verse Optimizer with Rosenbrock and Diffusion Mechanisms for Multilevel Threshold Image Segmentation from COVID-19 Chest X-Ray Images.Journal of bionic engineering · 2023Article
- Multilevel thresholding satellite image segmentation using chaotic coronavirus optimization algorithm with hybrid fitness function.Neural computing & applications · 2023Article
- Multi-Strategy Learning Boosted Colony Predation Algorithm for Photovoltaic Model Parameter Identification.Sensors (Basel, Switzerland) · 2022Article
- HADCNet: Automatic segmentation of COVID-19 infection based on a hybrid attention dense connected network with dilated convolution.Computers in biology and medicine · 2022Article
- The Technology-Oriented Pathway for Auxiliary Diagnosis in the Digital Health Age: A Self-Adaptive Disease Prediction Model.International journal of environmental research and public health · 2022Article
- Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine.Computers in biology and medicine · 2022Article
- Horizontal and vertical search artificial bee colony for image segmentation of COVID-19 X-ray images.Computers in biology and medicine · 2022Article
- Tuberculous pleural effusion prediction using ant colony optimizer with grade-based search assisted support vector machine.Frontiers in neuroinformatics · 2022Article
- Intradialytic hypotension prediction using covariance matrix-driven whale optimizer with orthogonal structure-assisted extreme learning machine.Frontiers in neuroinformatics · 2022Article
- bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease.Frontiers in neuroinformatics · 2022Article
- Machine learning for early discrimination between transient and persistent acute kidney injury in critically ill patients with sepsis.Scientific reports · 2021Article
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10 authors.
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Abstract
This paper focuses on the study of multilevel COVID-19 X-ray image segmentation based on swarm intelligence optimization to improve the diagnostic level of COVID-19. We present a new ant colony optimization with the Cauchy mutation and the greedy Levy mutation, termed CLACO, for continuous domains. Specifically, the Cauchy mutation is applied to the end phase of ant foraging in CLACO to enhance its searchability and to boost its convergence rate. The greedy Levy mutation is applied to the optimal ant individuals to confer an improved ability to jump out of the local optimum. Furthermore, this paper develops a novel CLACO-based multilevel image segmentation method, termed CLACO-MIS. Using 2D Kapur's entropy as the CLACO fitness function based on 2D histograms consisting of non-local mean filtered images and grayscale images, CLACO-MIS was successfully applied to the segmentation of COVID-19 X-ray images. A comparison of CLACO with some relevant variants and other excellent peers on 30 benchmark functions from IEEE CEC2014 demonstrates the superior performance of CLACO in terms of search capability, and convergence speed as well as ability to jump out of the local optimum. Moreover, CLACO-MIS was shown to have a better segmentation effect and a stronger adaptability at different threshold levels than other methods in performing segmentation experiments of COVID-19 X-ray images. Therefore, CLACO-MIS has great potential to be used for improving the diagnostic level of COVID-19. This research will host a webservice for any question at https://aliasgharheidari.com.
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