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CDRIME-MTIS: An enhanced rime optimization-driven multi-threshold segmentation for COVID-19 X-ray images
Yupeng Li1, Dong Zhao1, Chao Ma2
1College of Computer Science and Technology, Changchun Normal University, Changchun, Jilin, 130032, China.
Computers in Biology and Medicine
|January 3, 2024
Summary
This study introduces CDRIME, a novel swarm intelligence algorithm, to enhance COVID-19 detection through improved multi-threshold image segmentation (MTIS). The new method shows superior performance in global search and medical image analysis.
Area of Science:
- Artificial Intelligence
- Medical Imaging
- Computational Intelligence
Background:
- Accurate COVID-19 detection is crucial for public health.
- Existing image segmentation methods may lack efficiency and adaptability.
- Swarm intelligence algorithms offer potential for optimizing complex problems.
Purpose of the Study:
- To develop an effective swarm intelligence algorithm-driven multi-threshold image segmentation (MTIS) method for improved COVID-19 detection.
- To propose a novel RIME structure, named CDRIME, integrating Co-adaptive hunting and dispersed foraging strategies.
- To combine the proposed CDRIME with 2D non-local histogram and 2D Kapur entropy for enhanced image segmentation.
Main Methods:
- Development of the novel CDRIME algorithm with integrated Co-adaptive hunting and dispersed foraging strategies.
- Integration of CDRIME with 2D non-local histogram and 2D Kapur entropy for the CDRIME-MTIS method.
- Experimental validation using benchmark datasets (IEEE CEC2017, 2019, 2022) and COVID-19 X-ray images.
Main Results:
- CDRIME demonstrated superior global search, convergence, and local optimality escape compared to existing algorithms.
- The CDRIME-MTIS method showed significant advantages in segmentation effect and adaptability for COVID-19 X-ray images.
- Experimental results confirmed the enhanced performance of CDRIME over the original RIME algorithm.
Conclusions:
- The proposed CDRIME algorithm significantly enhances the global optimization performance of RIME.
- The CDRIME-MTIS method shows great potential for improving the accuracy and efficiency of COVID-19 diagnosis.
- This research contributes a novel approach to medical image analysis and disease detection.
