Aug 2026
Uncertainty as risk: A plug-and-play evidence-guided framework with error-aligned calibration for medical image segmentation.
The results demonstrate that the proposed "plug-and-play" evidence-guided framework for reliable medical image segmentation generally achieves a more consistent, spatially coherent uncertainty representation that better aligns with the true error, providing a practical tool for quality control and risk awareness in clinical deployment.
Chaojie Xing, Haolin Zhan, Rencheng Song et al.
· Medical Image Analysis · 0 citations