AI RESEARCH
ConfIC-RCA: Statistically Grounded Efficient Estimation of Segmentation Quality
arXiv CS.CV
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ArXi:2503.04522v4 Announce Type: replace Assessing the quality of automatic image segmentation is crucial in clinical practice, but often very challenging due to the limited availability of ground truth annotations. Reverse Classification Accuracy (RCA) is an approach that estimates the quality of new predictions on unseen samples by