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

Thomas Schlegl et al. (2017)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2018-08-13

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  - electronic edition @ arxiv.org (open access)
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  - journals/corr/SchleglSWSL17
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  - https://dblp.org/rec/journals/corr/SchleglSWSL17
Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Ursula Schmidt-Erfurth, Georg Langs:
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery. CoRR abs/1703.05921 (2017)

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