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An Improved Marine Predators Algorithm With Fuzzy Entropy for Multi-Level Thresholding: Real World Example of COVID-19 CT Image Segmentation.

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第一作者： Mohamed Abd,Elaziz

第一单位： Department of MathematicsFaculty of ScienceZagazig UniversityZagazig44519Egypt.

作者： Mohamed Abd,Elaziz ^[1] ; Ahmed A,Ewees ^[2] ; Dalia,Yousri ^[3] ; Husein S Naji,Alwerfali ^[4] ; Qamar A,Awad ^[1] ; Songfeng,Lu ^[5] ; Mohammed A A,Al-Qaness ^[6]

作者单位： Department of MathematicsFaculty of ScienceZagazig UniversityZagazig44519Egypt. ^[1] Department of ComputerDamietta UniversityDamietta34511Egypt. ^[2] Electrical Engineering DepartmentFaculty of EngineeringFayoum UniversityFaiyum63514Egypt. ^[3] School of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhan430074China. ^[4] School of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhan430074China.;Hubei Engineering Research Center on Big Data Security, School of Cyber Science and EngineeringHuazhong university of Science and TechnologyWuhan430074China. ^[5] State Key Laboratory for Information Engineering in Surveying, Mapping, and Remote SensingWuhan UniversityWuhan430079China. ^[6]

关键词 COVID-19 Image segmentation marine predators algorithm (MPA)moth-?ame optimization (MFO)multi-level thresholding swarm intelligence

DOI 10.1109/ACCESS.2020.3007928

PMID 34192114

发布时间 2022-02-24

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An Improved Marine Predators Algorithm With Fuzzy Entropy for Multi-Level Thresholding: Real World Example of COVID-19 CT Image Segmentation.

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