CDGC-Net: 3D Medical Image Segmentation with Cooperative Dual-Scale Self-Attention and Grouped Channel Modeling

arXiv:2608.08575 · cs.CV, cs.AI · Submitted 2026-08-09 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-08-09

Updated: 2026-08-09

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Transformer — 11× in this paper · explained in 2 episodes
• Residual Feature Alignment — 8× in this paper
• Cooperative Dual-Scale Self-Attention — 6× in this paper
• Transformers — 6× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Accuracy — 4× in this paper · explained in 1 episode
• Left Atrium — 4× in this paper
• nnU-Net — 4× in this paper · explained in 2 episodes
• Core — 3× in this paper · explained in 2 episodes
• Decoder — 3× in this paper · explained in 2 episodes
• Grouped Hierarchical Channel Attention — 3× in this paper
• Benchmark — 2× in this paper · explained in 2 episodes
• Computational Efficiency — 2× in this paper · explained in 2 episodes
• Computer Vision and Pattern Recognition — 2× in this paper
• Feature Extraction — 2× in this paper · explained in 3 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Augmentation — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 10 episodes
• Dice Similarity Coefficient — 1× in this paper
• Evaluation Protocol — 1× in this paper · explained in 2 episodes
• Hyperparameters — 1× in this paper · explained in 2 episodes
• Linear Complexity — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Position Bias — 1× in this paper · explained in 2 episodes
• Segmentation Masks — 1× in this paper · explained in 2 episodes
• Semantic Segmentation — 1× in this paper · explained in 3 episodes
• Sparse Attention — 1× in this paper · explained in 5 episodes
• U-Net Architecture — 1× in this paper · explained in 5 episodes
• Weight Decay — 1× in this paper · explained in 2 episodes

Sources

• Generating Long Sequences with Sparse Transformers
• Linformer: Self-Attention with Linear Complexity

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