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Top-performing models in automated pathology rely on structured representations and hierarchical diagnostics, not just vision-language models alone.
Clinically realistic liver vessel segmentation is now possible thanks to VEELA, a rigorously annotated dataset that avoids anatomical inference and embraces imaging uncertainty.
