Over the past decade, CNNs have significantly advanced the field of medical image segmentation, demonstrating remarkable success in various applications. However, CNNs face inherent limitations in capturing explicit long-range dependencies beyond local regions, as the receptive field of convolutional kernels is typically constrained.

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Transformer-Based Approaches for Medical Image Analysis

  • Yen-Wei Chen,
  • Lanfen Lin,
  • Rahul Kumar Jain

摘要

Over the past decade, CNNs have significantly advanced the field of medical image segmentation, demonstrating remarkable success in various applications. However, CNNs face inherent limitations in capturing explicit long-range dependencies beyond local regions, as the receptive field of convolutional kernels is typically constrained.