mlsanityData to 14 Oct 2026

RDTE-UNet: A Boundary and Detail Aware UNet for Precise Medical Image Segmentation

arXiv 2511.01328 ↗First posted 3 Nov 2025cs.CVcited by 0

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Abstract (arXiv)

Medical image segmentation is essential for computer-assisted diagnosis and treatment planning, yet substantial anatomical variability and boundary ambiguity hinder reliable delineation of fine structures. We propose RDTE-UNet, a segmentation network that unifies local modeling with global context to strengthen boundary delineation and detail preservation. RDTE-UNet employs a hybrid ResBlock detail-aware Transformer backbone and three modules: ASBE for adaptive boundary enhancement, HVDA for fine-grained feature modeling, and EulerFF for fusion weighting guided by Euler's formula. Together, these components improve structural consistency and boundary accuracy across morphology, orientation, and scale. On Synapse and BUSI dataset, RDTE-UNet has achieved a comparable level in terms of segmentation accuracy and boundary quality.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 17 of its 28 references that are in the map. First posted on arXiv 3 Nov 2025.

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References · 17

  1. 2017Attention Is All You Needcited by 60,361
  2. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  3. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  4. 2021TransUNet: Transformers Make Strong Encoders for Medical Image Segmentationcited by 1,558
  5. 2021Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentationcited by 1,222
  6. 2020UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentationcited by 332
  7. 2021MISSFormer: An Effective Medical Image Segmentation Transformercited by 103
  8. 2021Mixed Transformer U-Net For Medical Image Segmentationcited by 95
  9. 2021LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentationcited by 85
  10. 2021TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentationcited by 60
  11. 2024MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target Detectioncited by 60
  12. 2024Multi-Scale and Detail-Enhanced Segment Anything Model for Salient Object Detectioncited by 30
5 more
  1. 2023EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Predictioncited by 26
  2. 2024SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentationcited by 18
  3. 2025Adaptive Rectangular Convolution for Remote Sensing Pansharpeningcited by 10
  4. 2024Bootstrapping Audio-Visual Segmentation by Strengthening Audio Cuescited by 7
  5. 2025RWKV-UNet: Improving UNet with Long-Range Cooperation for Effective Medical Image Segmentationcited by 7

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