Journal of Visual Communication and Image Representation, Journal Year: 2023, Volume and Issue: 98, P. 104008 - 104008
Published: Dec. 5, 2023
Language: Английский
Journal of Visual Communication and Image Representation, Journal Year: 2023, Volume and Issue: 98, P. 104008 - 104008
Published: Dec. 5, 2023
Language: Английский
Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 252, P. 124197 - 124197
Published: May 20, 2024
Language: Английский
Citations
11Biomedical Signal Processing and Control, Journal Year: 2023, Volume and Issue: 86, P. 105147 - 105147
Published: June 16, 2023
Language: Английский
Citations
18Journal of Computational Design and Engineering, Journal Year: 2023, Volume and Issue: 10(2), P. 655 - 693
Published: Jan. 11, 2023
Abstract If found and treated early, fast-growing skin cancers can dramatically prolong patients’ lives. Dermoscopy is a convenient reliable tool during the fore-period detection stage of cancer, so efficient processing digital images dermoscopy particularly critical to improving level cancer diagnosis. Notably, image segmentation part preprocessing essential technical support in process processing. In addition, multi-threshold (MIS) technology extensively used due its straightforward effective features. Many academics have coupled different meta-heuristic algorithms with MIS raise quality. Nonetheless, these frequently enter local optima. Therefore, this paper suggests an improved salp swarm algorithm (ILSSA) method that combines iterative mapping escaping operator address drawback. Besides, also proposes ILSSA-based approach, which triumphantly utilized segment dermoscopic cancer. This uses two-dimensional (2D) Kapur’s entropy as objective function employs non-local means 2D histogram represent information. Furthermore, array benchmark test experiments demonstrated ILSSA could alleviate optimal problem more effectively than other compared algorithms. Afterward, experiment displayed proposed obtained superior results peers was adaptable at thresholds.
Language: Английский
Citations
17Knowledge-Based Systems, Journal Year: 2023, Volume and Issue: 277, P. 110828 - 110828
Published: July 25, 2023
Automatic segmentation of salient objects in real-world images has gained increasing interests owing to its popularity diverse applications, such as autonomous driving, medical diagnosis, aviation security, and underwater surveillance. In this research, we propose Firefly Algorithm (FA)-enhanced evolving ensemble deep networks for semantic visual saliency prediction. An improved FA model is proposed optimize network hyper-parameters. Specifically, it employs mutation operators a neighbouring search strategy with granular steps establish intensification. It also emphasizes diversification by adopting multiple dynamic hybrid leaders adaptive sine cosine trajectories full randomly selected sub-dimensions overcome stagnation. Because competent performance, DeepLabV3+ fine-tuned using transfer learning FA-based hyper-parameter identification. We the rate, momentum weight decay network. A number optimized distinguishing configurations are yielded. subsequently constructed incorporating three base further strengthen performance. Evaluated challenging prediction tasks image data sets, our illustrates significant superiority over other state-of-the-art existing studies. The outperforms methods solving mathematical landscapes statistical significance.
Language: Английский
Citations
17Computer Networks, Journal Year: 2024, Volume and Issue: 244, P. 110327 - 110327
Published: March 12, 2024
Language: Английский
Citations
5Studies in computational intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 135 - 157
Published: Jan. 1, 2025
Language: Английский
Citations
0Studies in computational intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 455 - 470
Published: Jan. 1, 2025
Language: Английский
Citations
0Multimedia Tools and Applications, Journal Year: 2023, Volume and Issue: 83(8), P. 24005 - 24044
Published: Aug. 7, 2023
Language: Английский
Citations
8Applied Soft Computing, Journal Year: 2022, Volume and Issue: 129, P. 109590 - 109590
Published: Sept. 5, 2022
Language: Английский
Citations
14Multimedia Tools and Applications, Journal Year: 2024, Volume and Issue: unknown
Published: May 2, 2024
Language: Английский
Citations
2