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With the continuous improvement of medical digitalization, new technologies such as 5G and artificial intelligence are more and more widely used in the medical industry, especially deep learning technology has shown great application potential in medical image analysis. This paper proposes a medical image analysis scheme based on 5G and artificial intelligence technology, which can realize the collection, accurate analysis, rapid transmission, and processing of complex medical images through the four-layer architecture. The architecture include data acquisition and edge computing layer, cloud computing and data management layer, intelligent analysis and deep learning layer, application and decision support layer, so as to improve the efficiency and accuracy of medical services and promote the remote and personalized medical services.

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Research on Medical Image Analysis Based on 5G and Deep Learning

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Hong Liang,
  • Jipeng Sun,
  • Yong Fang,
  • Zhengbo Zhang

摘要

With the continuous improvement of medical digitalization, new technologies such as 5G and artificial intelligence are more and more widely used in the medical industry, especially deep learning technology has shown great application potential in medical image analysis. This paper proposes a medical image analysis scheme based on 5G and artificial intelligence technology, which can realize the collection, accurate analysis, rapid transmission, and processing of complex medical images through the four-layer architecture. The architecture include data acquisition and edge computing layer, cloud computing and data management layer, intelligent analysis and deep learning layer, application and decision support layer, so as to improve the efficiency and accuracy of medical services and promote the remote and personalized medical services.