AI RESEARCH
Axial-Centric Cross-Plane Attention for 3D Medical Image Classification
arXiv CS.CV
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ArXi:2602.21636v2 Announce Type: replace Abridged: Clinicians commonly interpret 3D medical images by examining multiple anatomical planes rather than relying on volumetric views. In clinical CT workflows, the axial plane often serves as the primary diagnostic reference, while the auxiliary planes provide complementary spatial context. However, many existing 3D deep learning approaches either process volumetric data holistically or assign equal importance to all planes, failing to reflect this asymmetric, axial-centric interpretation strategy.