New spatially aware metrics (BUC, BA-ECE, SPACE) evaluate segmentation uncertainty using boundary distance and local smoothing, and outperform voxel-wise metrics at distinguishing clean from noisy uncertainty maps on prostate MRI.
nnu-net: a self-configuring method for deep learning-based biomedical image segmen- tation
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Spatially-Aware Evaluation of Segmentation Uncertainty
New spatially aware metrics (BUC, BA-ECE, SPACE) evaluate segmentation uncertainty using boundary distance and local smoothing, and outperform voxel-wise metrics at distinguishing clean from noisy uncertainty maps on prostate MRI.