Unsupervised Anomaly Detection for Image Dataset Quality Assurance in Multi-Center Breast MRI
arXiv:2608.16725v2 Announce Type: replace-cross Abstract: Corrupted, inconsistent, or anomalous data silently threatens the safety and reliability of medical AI. Despite growing regulatory recognition of dataset quality assurance (QA) for high-risk…
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Published2 d ago (Thu, 17 Sep 2026 04:00:00 GMT)
RetrievedThu, 17 Sep 2026 15:30:40 GMT via rss
ClassifiedThu, 17 Sep 2026 15:30:51 GMT by heuristic
AuthorChiara Tappermann, Steffen Renisch, Lars Ole Schwen, Hans Meine, Horst K. Hahn, Eike Petersen