Uncertainty optimization alone misses most safety gains; a decision-stage deferral policy removes up to 80% segmentation errors at 25% pixel deferral with cross-dataset robustness, while calibration does not improve decision quality.
Well- calibrated prediction uncertainty in medical imaging with scaled prediction sets.arXiv preprint arXiv:2006.10824
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Rethinking Uncertainty in Segmentation: From Estimation to Decision
Uncertainty optimization alone misses most safety gains; a decision-stage deferral policy removes up to 80% segmentation errors at 25% pixel deferral with cross-dataset robustness, while calibration does not improve decision quality.