MAGEFormer: Learning Metric-Consistent Representations for Anisotropic CT Segmentation

Vision Transformers (ViTs) have shown strong performance in volumetric segmentation, but their effectiveness on clinical CT is limited by an isotropic Euclidean lattice assumption.