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.
Using an anomaly detection approach for the segmentation of colorectal cancer tumors in whole slide images,
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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.