Medical Image Segmentation Comparison Hub
3 papers - avg viability 7.0
Top Papers
- DCAU-Net: Differential Cross Attention and Channel-Spatial Feature Fusion for Medical Image Segmentation(7.0)
DCAU-Net enhances medical image segmentation by efficiently modeling long-range dependencies and fine-grained details through innovative attention mechanisms.
- Are General-Purpose Vision Models All We Need for 2D Medical Image Segmentation? A Cross-Dataset Empirical Study(7.0)
This study evaluates the effectiveness of general-purpose vision models for 2D medical image segmentation, suggesting they may outperform specialized models.
- Decoding Matters: Efficient Mamba-Based Decoder with Distribution-Aware Deep Supervision for Medical Image Segmentation(7.0)
Deco-Mamba offers a novel decoder-centric approach for efficient and generalized medical image segmentation.