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IDRM: Brain tumor image segmentation with boosted RIME optimization.

Wei Zhu1, Liming Fang2, Xia Ye3

  • 1School of Resources and Safety Engineering, Central South University, Changsha, 410083, China.

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|October 13, 2023
PubMed
Summary

A new optimization algorithm, IDRM, improves medical image segmentation by enhancing threshold selection. It overcomes limitations of existing methods, leading to more accurate diagnoses and better patient outcomes.

Keywords:
Brain tumor detectionImage segmentationMeta-heuristic algorithmsMulti-thresholdRIMERényi's entropy

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Area of Science:

  • Computer Science
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Accurate medical image segmentation is crucial for timely diagnosis and risk mitigation.
  • Multi-threshold segmentation models require optimal threshold selection for performance.
  • Existing optimization algorithms face challenges like slow convergence and local optima.

Purpose of the Study:

  • To introduce an enhanced optimization algorithm, IDRM, for improved medical image segmentation.
  • To address the limitations of existing metaheuristic algorithms in threshold selection.
  • To validate IDRM's effectiveness in brain tumor image segmentation.

Main Methods:

  • Developed IDRM by integrating an interactive mechanism and Gaussian diffusion strategy into the RIME algorithm.
  • Tested IDRM on 30 benchmark functions to evaluate its optimization performance.
  • Applied IDRM to select thresholds for brain tumor image segmentation.

Main Results:

  • IDRM demonstrated robust optimization performance and convergence properties on benchmark functions.
  • The algorithm effectively avoided local optima and explored the solution space.
  • IDRM achieved superior results in brain tumor image segmentation, as evidenced by PSNR and SSIM metrics.

Conclusions:

  • IDRM offers a significant advancement in metaheuristic optimization for image segmentation.
  • The enhanced algorithm provides a more effective tool for physicians in medical diagnosis.
  • IDRM shows strong potential for clinical application in medical imaging analysis.