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For: Liu L, Zhao D, Yu F, Heidari AA, Li C, Ouyang J, Chen H, Mafarja M, Turabieh H, Pan J. Ant colony optimization with Cauchy and greedy Levy mutations for multilevel COVID 19 X-ray image segmentation. Comput Biol Med 2021;136:104609. [PMID: 34293587 DOI: 10.1016/j.compbiomed.2021.104609] [Cited by in Crossref: 29] [Cited by in F6Publishing: 31] [Article Influence: 14.5] [Reference Citation Analysis]
Number Citing Articles
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2 Li Y, Zhao D, Xu Z, Heidari AA, Chen H, Jiang X, Liu Z, Wang M, Zhou Q, Xu S. bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease. Front Neuroinform 2022;16:1063048. [PMID: 36726405 DOI: 10.3389/fninf.2022.1063048] [Reference Citation Analysis]
3 Han Y, Chen W, Heidari AA, Chen H. Multi-verse Optimizer with Rosenbrock and Diffusion Mechanisms for Multilevel Threshold Image Segmentation from COVID-19 Chest X-Ray Images. J Bionic Eng 2023;:1-65. [PMID: 36619872 DOI: 10.1007/s42235-022-00295-w] [Reference Citation Analysis]
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14 Shan W, Hu H, Cai Z, Chen H, Liu H, Wang M, Teng Y. Multi-strategies Boosted Mutative Crow Search Algorithm for Global Tasks: Cases of Continuous and Discrete Optimization. J Bionic Eng. [DOI: 10.1007/s42235-022-00228-7] [Reference Citation Analysis]
15 Lu SY, Wang SH, Zhang YD. SAFNet: A deep spatial attention network with classifier fusion for breast cancer detection. Comput Biol Med 2022;148:105812. [PMID: 35834967 DOI: 10.1016/j.compbiomed.2022.105812] [Reference Citation Analysis]
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17 Zhang Y, Liu Y, Li C, Liu Y, Zhou J, Osaba E. The Optimization of Path Planning for Express Delivery Based on Clone Adaptive Ant Colony Optimization. Journal of Advanced Transportation 2022;2022:1-15. [DOI: 10.1155/2022/4825018] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
18 Chen Y, Wang M, Heidari AA, Shi B, Hu Z, Zhang Q, Chen H, Mafarja M, Turabieh H. Multi-threshold image segmentation using a multi-strategy shuffled frog leaping algorithm. Expert Systems with Applications 2022;194:116511. [DOI: 10.1016/j.eswa.2022.116511] [Cited by in Crossref: 11] [Cited by in F6Publishing: 8] [Article Influence: 11.0] [Reference Citation Analysis]
19 Yu R, Tian Y, Gao J, Liu Z, Wei X, Jiang H, Huang Y, Li X. Feature discretization-based deep clustering for thyroid ultrasound image feature extraction. Computers in Biology and Medicine 2022. [DOI: 10.1016/j.compbiomed.2022.105600] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
20 Wang Y, Huang L, Wu M, Liu S, Jiao J, Bai T. Multi-input adaptive neural network for automatic detection of cervical vertebral landmarks on X-rays. Computers in Biology and Medicine 2022. [DOI: 10.1016/j.compbiomed.2022.105576] [Reference Citation Analysis]
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22 Bao H, Liang G, Cai Z, Chen H. Random Replacement Crisscross Butterfly Optimization Algorithm for Standard Evaluation of Overseas Chinese Associations. Electronics 2022;11:1080. [DOI: 10.3390/electronics11071080] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
23 Xia W, Zheng L, Fang J, Li F, Zhou Y, Zeng Z, Zhang B, Li Z, Li H, Zhu F. PFmulDL: a novel strategy enabling multi-class and multi-label protein function annotation by integrating diverse deep learning methods. Comput Biol Med 2022;145:105465. [PMID: 35366467 DOI: 10.1016/j.compbiomed.2022.105465] [Cited by in Crossref: 12] [Cited by in F6Publishing: 14] [Article Influence: 12.0] [Reference Citation Analysis]
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25 Liu J, Wei J, Heidari AA, Kuang F, Zhang S, Gui W, Chen H, Pan Z. Chaotic simulated annealing multi-verse optimization enhanced kernel extreme learning machine for medical diagnosis. Comput Biol Med 2022;144:105356. [PMID: 35299042 DOI: 10.1016/j.compbiomed.2022.105356] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
26 Ren L, Heidari AA, Cai Z, Shao Q, Liang G, Chen H, Pan Z. Gaussian kernel probability-driven slime mould algorithm with new movement mechanism for multi-level image segmentation. Measurement 2022;192:110884. [DOI: 10.1016/j.measurement.2022.110884] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
27 Su H, Zhao D, Yu F, Heidari AA, Zhang Y, Chen H, Li C, Pan J, Quan S. Horizontal and vertical search artificial bee colony for image segmentation of COVID-19 X-ray images. Comput Biol Med 2022;142:105181. [PMID: 35016099 DOI: 10.1016/j.compbiomed.2021.105181] [Cited by in Crossref: 28] [Cited by in F6Publishing: 25] [Article Influence: 28.0] [Reference Citation Analysis]
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29 Chen C, Wang X, Heidari AA, Yu H, Chen H. Multi-Threshold Image Segmentation of Maize Diseases Based on Elite Comprehensive Particle Swarm Optimization and Otsu. Front Plant Sci 2021;12:789911. [PMID: 34966405 DOI: 10.3389/fpls.2021.789911] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
30 Hu J, Han Z, Heidari AA, Shou Y, Ye H, Wang L, Huang X, Chen H, Chen Y, Wu P. Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine. Computers in Biology and Medicine 2021. [DOI: 10.1016/j.compbiomed.2021.105166] [Cited by in Crossref: 29] [Cited by in F6Publishing: 27] [Article Influence: 14.5] [Reference Citation Analysis]
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32 Zhao S, Wang P, Heidari AA, Chen H, He W, Xu S. Performance optimization of salp swarm algorithm for multi-threshold image segmentation: Comprehensive study of breast cancer microscopy. Comput Biol Med 2021;139:105015. [PMID: 34800808 DOI: 10.1016/j.compbiomed.2021.105015] [Cited by in Crossref: 14] [Cited by in F6Publishing: 20] [Article Influence: 7.0] [Reference Citation Analysis]
33 Chakraborty S, Saha AK, Nama S, Debnath S. COVID-19 X-ray image segmentation by modified whale optimization algorithm with population reduction. Comput Biol Med 2021;139:104984. [PMID: 34739972 DOI: 10.1016/j.compbiomed.2021.104984] [Cited by in Crossref: 7] [Cited by in F6Publishing: 11] [Article Influence: 3.5] [Reference Citation Analysis]
34 Liu L, Zhao D, Yu F, Heidari AA, Ru J, Chen H, Mafarja M, Turabieh H, Pan Z. Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation. Comput Biol Med 2021;138:104910. [PMID: 34638022 DOI: 10.1016/j.compbiomed.2021.104910] [Cited by in Crossref: 23] [Cited by in F6Publishing: 30] [Article Influence: 11.5] [Reference Citation Analysis]
35 Luo XQ, Yan P, Zhang NY, Luo B, Wang M, Deng YH, Wu T, Wu X, Liu Q, Wang HS, Wang L, Kang YX, Duan SB. Machine learning for early discrimination between transient and persistent acute kidney injury in critically ill patients with sepsis. Sci Rep 2021;11:20269. [PMID: 34642418 DOI: 10.1038/s41598-021-99840-6] [Cited by in Crossref: 15] [Cited by in F6Publishing: 15] [Article Influence: 7.5] [Reference Citation Analysis]