2025
SFma-Unet: A Mamba-Based Spatial-Frequency Fusion Network for Medical Image Segmentation
ICASSP 2025accepted
Recently, Mamba-based methods have gained popularity in medical image segmentation due to their ability to model long-range dependencies with linear computational complexity. However, current segmentation methods often face challenges such as low contrast, blurred boundaries, and unclear backgrounds…