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Application of CNN Algorithm Based on Chaotic Recursive Diagonal Model in Medical Image Processing.

Fangfang Ye1, Sen Xu1, Ting Wang2

  • 1School of Information and Science Technology, Zhejiang Shuren University, Hangzhou 310015, Zhejiang, China.

Computational Intelligence and Neuroscience
|September 20, 2021
PubMed
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This study introduces an optimized convolutional neural network (CNN) using a chaotic recursive diagonal model for medical image processing. This enhancement improves accuracy and efficiency in analyzing patient conditions.

Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Computational Neuroscience

Background:

  • Increasing living standards correlate with rising food production and disease rates.
  • Traditional medical image processing methods are insufficient for current medical needs.
  • Convolutional Neural Networks (CNNs) show promise in medical image analysis.

Purpose of the Study:

  • To explore the application of CNNs in medical image processing.
  • To introduce and analyze a hybrid CNN algorithm incorporating a chaotic recursive diagonal model.
  • To optimize CNN performance for enhanced medical image analysis.

Main Methods:

  • Utilizing a chaotic recursive diagonal model to enhance a standard CNN algorithm.
  • Developing a hybrid algorithm combining CNN with the chaotic recursive diagonal model.

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  • Comparing the performance of the original CNN against the optimized version in medical image processing tasks.

    • Main Results:

    • The chaotic recursive diagonal model improves neural network structure, boosting CNN efficiency and accuracy.
    • The optimized CNN algorithm demonstrates superior performance in medical image automatic processing.
    • The enhanced CNN aids significantly in patient condition analysis.

    Conclusions:

    • The chaotic recursive diagonal model effectively optimizes CNNs for medical image processing.
    • This optimized approach enhances diagnostic capabilities and patient care.
    • The hybrid CNN algorithm represents a significant advancement in medical AI.