A Bayesian ordinal classifier with calibrated uncertainty thresholds is proposed for radiotherapy auto-contour QA, but the reported high accuracy is undermined by a missing majority-class baseline in a 93.1% Class 2 test set.
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AI-Assisted Decision-Making for Clinical Assessment of Auto-Segmented Contour Quality
A Bayesian ordinal classifier with calibrated uncertainty thresholds is proposed for radiotherapy auto-contour QA, but the reported high accuracy is undermined by a missing majority-class baseline in a 93.1% Class 2 test set.