Research map / Detection and segmentation / CNN features
Deep Distance Transform for Tubular Structure Segmentation in CT Scans
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add a distance-transform prediction branch and geometry-aware refinement | 3D-UNet · PDAC pancreatic duct (venous phase) | DSC (%): 40.25~$\pm$~27.89 -> 58.20~$\pm$~23.39 | Helped |
| Add a distance-transform prediction branch and geometry-aware refinement | 3D-UNet · Aorta | DSC: 90.85 -> 92.94 | Helped |
| Add a distance-transform prediction branch and geometry-aware refinement | 3D-HED · Veins | DSC: 73.57 -> 76.20 | Helped |
| Add a distance-transform prediction branch and geometry-aware refinement | 3D-UNet · Pancreatic duct | DSC: 56.63 -> 62.31 | Helped |
| Add a distance-transform prediction branch and geometry-aware refinement | ResDSN · Veins | DSC: 71.10 -> 76.60 | Helped |
| Add a distance loss term (ablation) | DDT with geometry-aware refinement · PDAC pancreatic duct | DSC (%): 54.70 -> 55.97 | Helped |
| Add geometry-aware refinement (ablation) | DDT with λ=0 · PDAC pancreatic duct | DSC (%): 52.73 -> 54.70 | Helped |
| Add geometry-aware refinement (ablation) | DDT with λ=1 · PDAC pancreatic duct | DSC (%): 53.69 -> 55.97 | Helped |
| Add a distance loss term without geometry-aware refinement (ablation) | DDT · PDAC pancreatic duct | DSC (%): 52.73 -> 53.69 | Helped |
| Replace direct mask prediction with skeleton prediction and reconstruction (ablation) | ResDSN · PDAC pancreatic duct | DSC (%): 49.81 -> 51.88 | Helped |
| Raise the pseudo-skeleton threshold Tp (ablation) | DDT geometry-aware refinement · PDAC pancreatic duct | DSC | Helped |
| Vary the refinement threshold Tr within [0.1, 1] (ablation) | DDT geometry-aware refinement · PDAC pancreatic duct | DSC | No clear effect |
Closest papers by meaning
- GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs (NeurIPS 2024 · similarity 0.86)
- DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation (AAAI 2024 · similarity 0.83)
- DDViT: Double-Level Fusion Domain Adapter Vision Transformer (Student Abstract) (AAAI 2024 · similarity 0.82)
- nnWNet: Rethinking the Use of Transformers in Biomedical Image Segmentation and Calling for a Unified Evaluation Benchmark (CVPR 2025 · similarity 0.82)
- Upping the Game: How 2D U-Net Skip Connections Flip 3D Segmentation (NeurIPS 2024 · similarity 0.82)
- E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation (NeurIPS 2024 · similarity 0.82)
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