From static wavelets to learnable spectral modulation after wavelet decomposition: a guided region-contour consistency network for breast ultrasound segmentation
Accurate medical image segmentation remains challenging due to ambiguous lesion boundaries, low contrast, and complex structural variability. Existing approaches that rely primarily on spatial-domain feature learning often struggle to capture fine-grained details and enforce consistency between region prediction and co...