ContourFD-Net: A Finite-Difference-Driven Contour Attention Network for Efficient Medical Image Segmentation on Edge Devices
Accurate medical image segmentation remains challenging due to complex anatomical structures and ambiguous boundaries. To address the loss of structural cues in existing methods, we propose ContourFD-Net, a gradient-guided attention network. Unlike existing contour-aware networks that rely on auxiliary supervision, Con...