Qinghua Huang

RV-mixer: Random Fourier and variance-guided global feature learning for medical image segmentation.

RV-Mixer is proposed, a lightweight module for efficient global representation learning with medical-domain priors that achieves competitive or superior performance compared with Transformer, MLP, and Mamba-based approaches while maintaining fewer parameters and lower computational complexity.