UHR-Net proposes uncertainty-aware instance contrastive pretraining and an entropy-guided hypergraph refinement block to achieve consistent segmentation gains on five medical image benchmarks.
Casf-net: Cross-attention and cross-scale fusion network for medical image segmentation
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UHR-Net: An Uncertainty-Aware Hypergraph Refinement Network for Medical Image Segmentation
UHR-Net proposes uncertainty-aware instance contrastive pretraining and an entropy-guided hypergraph refinement block to achieve consistent segmentation gains on five medical image benchmarks.