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Relying on arbitrary 2D slice selection for joint pathology is obsolete when implicit neural representations can reconstruct continuous, multi-planar anatomical profiles directly from standard clinical MRIs.
Automated deep learning can significantly reduce variability in assessing pancreatic cancer resectability, improving clinical outcomes.
