AUCp selects inference models for unsupervised abnormality detection by computing AUC after labeling all test samples as positive, shown to outperform conventional metrics when normal training data is representative.
Dual-distribution discrepancy for anomaly detection in chest x-rays.arXiv preprint arXiv:2206.03935, 2022
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AUCp: Pseudo-AUC for Inference Model Selection with Unlabeled Validation Data in Abnormality Detection
AUCp selects inference models for unsupervised abnormality detection by computing AUC after labeling all test samples as positive, shown to outperform conventional metrics when normal training data is representative.