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ResearchModels & Releases·arXiv cs.LG·

SegWithU: Uncertainty as Perturbation Energy for Single-Forward-Pass Risk-Aware Medical Image Segmentation

SegWithU introduces a post-hoc uncertainty quantification framework for medical image segmentation that operates in a single forward pass by modeling uncertainty as perturbation energy in a compact probe space, enabling both calibration and error detection without repeated inference.

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SegWithU: Uncertainty as Perturbation Energy for Single-Forward-Pass Risk-Aware Medical Image Segmentation · Modelwire