An efficient differential evolution with fitness-based dynamic mutation strategy and control parameters DOI Creative Commons
Shubham Gupta, Rong Su

Knowledge-Based Systems, Journal Year: 2022, Volume and Issue: 251, P. 109280 - 109280

Published: June 18, 2022

Language: Английский

Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation DOI

Ailiang Qi,

Dong Zhao, Fanhua Yu

et al.

Computers in Biology and Medicine, Journal Year: 2022, Volume and Issue: 148, P. 105810 - 105810

Published: July 13, 2022

Language: Английский

Citations

173
Parrot optimizer: Algorithm and applications to medical problems DOI
Junbo Lian, Guohua Hui,

Ling Ma

et al.

Computers in Biology and Medicine, Journal Year: 2024, Volume and Issue: 172, P. 108064 - 108064

Published: Feb. 24, 2024

Language: Английский

Citations

157
Medical image segmentation using deep semantic-based methods: A review of techniques, applications and emerging trends DOI
Imran Qureshi,

Junhua Yan,

Qaisar Abbas

et al.

Information Fusion, Journal Year: 2022, Volume and Issue: 90, P. 316 - 352

Published: Oct. 8, 2022

Language: Английский

Citations

146
Slime mould algorithm: a comprehensive review of recent variants and applications DOI
Huiling Chen, Chenyang Li, Majdi Mafarja

et al.

International Journal of Systems Science, Journal Year: 2022, Volume and Issue: 54(1), P. 204 - 235

Published: Dec. 16, 2022

Slime Mould Algorithm (SMA) has recently received much attention from researchers because of its simple structure, excellent optimisation capabilities, and acceptable convergence in dealing with various types complex real-world problems. this study aims to retrieve, identify, summarise analyse critical studies related SMA development. Based on this, 98 SMA-related the Web Science were retrieved, selected, identified. The two main review vectors advanced versions SMAs application domains. First, we counted analysed SMAs, summarised, classified, discussed their improvement methods directions. Secondly, sort out domains role, development status, shortcomings each domain. A survey based existing literature shows that clearly outperform some established metaheuristics terms speed accuracy handling benchmark problems solving multiple realistic optimization This not only suggests possible future directions field but, due inclusion graphical tabular comparisons properties, also provides a comprehensive source information about SAMs scope adaptation for

Language: Английский

Citations

136
Slime Mould Algorithm: A Comprehensive Survey of Its Variants and Applications DOI Open Access
Farhad Soleimanian Gharehchopogh, Alaettin Uçan, Turgay İbrikçi

et al.

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 30(4), P. 2683 - 2723

Published: Jan. 12, 2023

Language: Английский

Citations

109
Adaptive soft erasure with edge self-attention for weakly supervised semantic segmentation: Thyroid ultrasound image case study DOI
Mei Yu, Ming Han, Xuewei Li

et al.

Computers in Biology and Medicine, Journal Year: 2022, Volume and Issue: 144, P. 105347 - 105347

Published: March 2, 2022

Language: Английский

Citations

88
Horizontal and vertical search artificial bee colony for image segmentation of COVID-19 X-ray images DOI
Hang Su, Dong Zhao, Fanhua Yu

et al.

Computers in Biology and Medicine, Journal Year: 2022, Volume and Issue: 142, P. 105181 - 105181

Published: Jan. 3, 2022

Language: Английский

Citations

73
Eres-UNet++: Liver CT image segmentation based on high-efficiency channel attention and Res-UNet++ DOI
Jian Li,

Kongyu Liu,

Yating Hu

et al.

Computers in Biology and Medicine, Journal Year: 2023, Volume and Issue: 158, P. 106501 - 106501

Published: Jan. 10, 2023

Language: Английский

Citations

70
Modified Remora Optimization Algorithm for Global Optimization and Multilevel Thresholding Image Segmentation DOI Creative Commons
Qingxin Liu, Ni Li, Heming Jia

et al.

Mathematics, Journal Year: 2022, Volume and Issue: 10(7), P. 1014 - 1014

Published: March 22, 2022

Image segmentation is a key stage in image processing because it simplifies the representation of and facilitates subsequent analysis. The multi-level thresholding technique considered one most popular methods efficient straightforward. Many relative works use meta-heuristic algorithms (MAs) to determine threshold values, but they have issues such as poor convergence accuracy stagnation into local optimal solutions. Therefore, alleviate these shortcomings, this paper, we present modified remora optimization algorithm (MROA) for global tasks. We used Brownian motion promote exploration ability ROA provide greater opportunity find solution. Second, lens opposition-based learning introduced enhance search agents jump out To substantiate performance MROA, first 23 benchmark functions evaluate performance. compared with seven well-known regarding accuracy, speed, significant difference. Subsequently, tested quality MORA on eight grayscale images cross-entropy objective function. experimental metrics include peak signal-to-noise ratio (PSNR), structure similarity (SSIM), feature (FSIM). A series results proved that MROA has advantages among algorithms. Consequently, proposed promising method problems segmentation.

Language: Английский

Citations

65
An adaptive quadratic interpolation and rounding mechanism sine cosine algorithm with application to constrained engineering optimization problems DOI
Xiao Yang, Rui Wang, Dong Zhao

et al.

Expert Systems with Applications, Journal Year: 2022, Volume and Issue: 213, P. 119041 - 119041

Published: Oct. 17, 2022

Language: Английский

Citations

65