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Diff-UNet: A diffusion embedded network for robust 3D medical image segmentation
DOI:10.1016/j.media.2025.103654.png)
Abstract
En 中文
• A two-branch diffusion-based model to boost 3D medical image segmentation. • A Multi-granularity Boundary Aggregation (MBA) module to introduce boundary features. • A Monte Carlo Diffusion (MC-Diff) module to guide the segmentation loss. • A Progressive Uncertainty-driven REfinement (PURE) strategy to fuse predictions.
Journal
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11.8
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3.8K
Citations:
2.4W
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