Jia-Mi Yang

ADSAM-Net: A Dual-Stage Attention Enhanced Mamba Network for 3D Medical Image Segmentation

Accurate 3D medical image segmentation is crucial for clinical use. CNNs and transformers have limitations: limited receptive fields or quadratic complexity. State space models like Mamba offer linear complexity with global perception, but existing methods (e.g., EM-Net) struggle with small organs due to poor spatial d...