2026
Spectral–Spatial Mixing with Morphology-Aware Adaptive Loss for Medical Image Segmentation.
ICML 2026poster
Medical image segmentation requires balancing global context with computational efficiency, where self-attention mechanisms suffer from quadratic $\mathcal{O}((HW)^2 C)$ complexity. We propose S2M-Net, a parameter-efficient architecture (4.7M parameters) that achieves computational savings through S…