Jingan Zhu

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

M-Net establishes that mathematical inductive biases provide effective complementary information for medical image segmentation, and opens avenues for integrating linear algebra and vector calculus into deep architectures for medical imaging.