Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection

14 Dec 2018David ZimmererSimon A. A. KohlJens PetersenFabian IsenseeKlaus H. Maier-Hein

Unsupervised learning can leverage large-scale data sources without the need for annotations. In this context, deep learning-based auto encoders have shown great potential in detecting anomalies in medical images... (read more)

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