A systematic comparison of 23 anomaly detection methods on pathology and industrial image datasets shows that feature distribution methods generally outperform reconstruction and distillation methods, and that epoch selection strategy and image scale strongly affect results.
Automated anomaly detection in histology images using deep learning,
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Quantitative Benchmarking of Anomaly Detection Methods in Digital Pathology
A systematic comparison of 23 anomaly detection methods on pathology and industrial image datasets shows that feature distribution methods generally outperform reconstruction and distillation methods, and that epoch selection strategy and image scale strongly affect results.