Cross-domain mechanism for few-shot object detection on Urine Sediment Image DOI
Sixian Chan,

Binghui Wu,

Hong-Qiang Wang

et al.

Computers in Biology and Medicine, Journal Year: 2023, Volume and Issue: 166, P. 107487 - 107487

Published: Sept. 20, 2023

Language: Английский

CCGL-YOLOV5:A cross-modal cross-scale global-local attention YOLOV5 lung tumor detection model DOI
Tao Zhou, Fengzhen Liu, Xinyu Ye

et al.

Computers in Biology and Medicine, Journal Year: 2023, Volume and Issue: 165, P. 107387 - 107387

Published: Aug. 28, 2023

Language: Английский

Citations

19
DRPSO:A multi-strategy fusion particle swarm optimization algorithm with a replacement mechanisms for colon cancer pathology image segmentation DOI
Gang Hu,

Yixuan Zheng,

Essam H. Houssein

et al.

Computers in Biology and Medicine, Journal Year: 2024, Volume and Issue: 178, P. 108780 - 108780

Published: June 22, 2024

Language: Английский

Citations

8
An enhanced exponential distribution optimizer and its application for multi-level medical image thresholding problems DOI Creative Commons
Fatma A. Hashim, Abdelazim G. Hussien, Anas Bouaouda

et al.

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 93, P. 142 - 188

Published: March 15, 2024

In this paper, an enhanced version of the Exponential Distribution Optimizer (EDO) called mEDO is introduced to tackle global optimization and multi-level image segmentation problems. EDO a math-inspired optimizer that has many limitations in handling complex multi-modal tries solve these drawbacks using 2 operators: phasor operator for diversity enhancement adaptive p-best mutation strategy preventing it converging local optima. To validate effectiveness suggested optimizer, comprehensive set comparative experiments CEC'2020 test suite was conducted. The experimental results consistently prove technique outperforms its counterparts terms both convergence speed accuracy. Moreover, algorithm applied multi-threshold method with Otsu's entropy, providing further evidence performance. evaluated by comparing those existing well-known algorithms at various threshold levels. proposed attains exceptional

Language: Английский

Citations

6
Multi-threshold image segmentation based on an improved whale optimization algorithm: A case study of Lupus Nephritis DOI
Jinge Shi, Yi Chen, Zhennao Cai

et al.

Biomedical Signal Processing and Control, Journal Year: 2024, Volume and Issue: 96, P. 106492 - 106492

Published: June 7, 2024

Language: Английский

Citations

6
An enhanced machine learning approach for effective prediction of IgA nephropathy patients with severe proteinuria based on clinical data DOI
Yaozhe Ying, Luhui Wang, Shuqing Ma

et al.

Computers in Biology and Medicine, Journal Year: 2024, Volume and Issue: 173, P. 108341 - 108341

Published: March 24, 2024

Language: Английский

Citations

5
Slimmable transformer with hybrid axial-attention for medical image segmentation DOI

Yiyue Hu,

Nan Mu, Lei Liu

et al.

Computers in Biology and Medicine, Journal Year: 2024, Volume and Issue: 173, P. 108370 - 108370

Published: March 29, 2024

Language: Английский

Citations

5
Boosted Nutcracker optimizer and Chaos Game Optimization with Cross Vision Transformer for medical image classification DOI Creative Commons

Ahmed F. Mohamed,

Amal I. Saba, Mohamed K. Hassan

et al.

Egyptian Informatics Journal, Journal Year: 2024, Volume and Issue: 26, P. 100457 - 100457

Published: April 9, 2024

This paper presents an alternative breast cancer classification method based on enhancing the efficiency of Nutcracker optimizer (NO) algorithm using Chaos Game Optimization (CGO). In addition, we use Cross Vision Transformer to extract features from images. After that, relevant are allocated modified version NO CGO. modification aims enhance exploration ability discover region a feasible solution (an optimal subset features). The performance developed model is validated by twelve functions CEC2022 benchmark and comparing results with traditional CGO algorithms. assess applicability technique, set three datasets, were compared other techniques. illustrate high detection find according different measures.

Language: Английский

Citations

5
New comparative approach to multi-level thresholding: chaotically initialized adaptive meta-heuristic optimization methods DOI Creative Commons
Fatmanur Serbet, Turgay Kaya

Neural Computing and Applications, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 6, 2025

Language: Английский

Citations

0
Superpixel-based fuzzy clustering for the coating segmentation and thickness measurement of diverse coated fuel particles using local statistical features DOI
Hang Zhang,

Ziwei Zhao,

Zhaochuan Hu

et al.

Optics and Lasers in Engineering, Journal Year: 2025, Volume and Issue: 191, P. 109028 - 109028

Published: April 21, 2025

Language: Английский

Citations

0
Detecting depression based on facial cues elicited by emotional stimuli in video DOI
Bin Hu, Yongfeng Tao, Minqiang Yang

et al.

Computers in Biology and Medicine, Journal Year: 2023, Volume and Issue: 165, P. 107457 - 107457

Published: Sept. 6, 2023

Language: Английский

Citations

9