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In recent years, various methods have been proposed to address the fundamental task of medical image registration in medical image analysis. This paper systematically reviews the research progress in medical image registration using deep learning techniques. These methods utilize deep learning algorithms to achieve precise alignment of medical image data from different modalities, time points, or sources, thereby providing dependable help for clinical identification and care. This paper seeks to provide researchers and practitioners with the most current technological advances and potential applications in the realm of medical image registration.

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A Survey on Deep Learning-Based Medical Image Registration

  • 会议论文

  • 发表日期：

    2025年

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  • Ronghao Xu,
  • Chongxin Liu,
  • Shuaitong Liu,
  • Weijie Huang,
  • Menghua Zhang

摘要

In recent years, various methods have been proposed to address the fundamental task of medical image registration in medical image analysis. This paper systematically reviews the research progress in medical image registration using deep learning techniques. These methods utilize deep learning algorithms to achieve precise alignment of medical image data from different modalities, time points, or sources, thereby providing dependable help for clinical identification and care. This paper seeks to provide researchers and practitioners with the most current technological advances and potential applications in the realm of medical image registration.