In-batch Relational Features Enhance Precision in An Unsupervised Medical Anomaly Detection Task

by @bio-papers

Abstract Confounding pathology with normal anatomical variation remains a significant challenge in unsupervised medical-image anomaly detection, resulting in numerous false positives. To enhance integration of healthy va

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