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October 9, 2025Open Access

A Survey on Medical Image Compression: From Traditional to Learning-Based

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Authors

GTGuofeng TongSLSixuan LiuYLYang Lv

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Overview

This review discusses medical image compression techniques, highlighting challenges in 2D and 3D/4D images with implications for treatment efficiency.

Key Points

  • Efficient medical image compression is crucial for managing vast amounts of imaging data, especially for healthcare systems.
  • 2D and volumetric medical image compression need to handle different types of spatial correlations to maintain quality and performance.
  • Traditional compression methods provide predictable performance while learning-based techniques capture complex relationships within medical images.
  • A comprehensive taxonomy is proposed, illustrating the evolution of compression techniques and addressing unique technical challenges that require solutions.

Cite This Study

Tong et al. (2025) studied this question.

synapsesocial.com/papers/68e8439a9989581a2fd4e293https://doi.org/10.48550/arxiv.2507.10615
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