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MAGEFormer: Learning Metric-Consistent Representations for Anisotropic CT Segmentation

arXiv:2610.04036v1 Announce Type: new Abstract: Vision Transformers (ViTs) have shown strong performance in volumetric segmentation, but their effectiveness on clinical CT is limited by an isotropic Euclidean lattice assumption. This conflicts with anisotropic CT acquisition, leading to two key iss…

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  1. 2026-10-06 04:00 · arXiv cs.CV
    MAGEFormer: Learning Metric-Consistent Representations for Anisotropic CT Segmentation

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