"Unsupervised Anomaly Detection with Generative Adversarial Networks to ..."

Thomas Schlegl et al. (2017)

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DOI: 10.1007/978-3-319-59050-9_12

access: closed

type: Conference or Workshop Paper

metadata version: 2019-09-16

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Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Ursula Schmidt-Erfurth, Georg Langs:
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery. IPMI 2017: 146-157

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