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

P. Bilha Githinji, Ijaz Gul, Lian Zhang +3

Confounding pathology with normal anatomical variation remains a significant challenge in unsupervised medical-image anomaly detection, resulting in numerous false positives. To en…