Abstract: Unsupervised Anomaly Localization Using Variational Auto-Encoders
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An assumption-free automatic check of medical images for potentially overseen anomalies would be a valuable assistance for a radiologist. Deep learning and especially Variational Auto-Encoders (VAEs) have shown great potential in the unsupervised learning of data distributions. In principle, this allows for such a check and even the localization of parts in the image that are most suspicious.
- 1.Zimmerer D, Isensee F, Petersen J, et al.; Springer. Unsupervised anomaly localization using variational auto-encoders. Proc MICCAI. 2019;.Google Scholar