M-Net: Integrating Spectral Features and Physical Field Operators into Deep Learning for Medical Image Segmentation

Purpose: Deep learning-based medical image segmentation has achieved remarkable success, yet purely data-driven approaches often fail to exploit the rich mathematical structure inherent in medical images. We investigate whether explicit mathematical inductive biases, specifically matrix spectral ana...