Anomaly Detection using Generative Models and Sum-Product Networks in Mammography Scans

no code implementations • 12 Oct 2022 • Marc Dietrichstein, David Major, Maria Wimmer, Dimitrios Lenis, Philip Winter, Astrid Berg, Theresa Neubauer, Katja Bühler

Unsupervised anomaly detection models which are trained solely by healthy data, have gained importance in the recent years, as the annotation of medical data is a tedious task.

Unsupervised Anomaly Detection