CDGC-Net: 3D Medical Image Segmentation with Cooperative Dual-Scale Self-Attention and Grouped Channel Modeling
CDGC-Net, a 3D medical image segmentation network that combines cooperative dual-scale spatial attention with grouped hierarchical channel modeling, achieves mean DSC values on the Synapse, ACDC, BraTS, and LA datasets, indicating a favorable trade-off between segmentation accuracy and computational complexity.