Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential

Bibliographic Details
Main Authors: Maximilian E. Tschuchnig, Gertie J. Oostingh, Michael Gadermayr
Format: Article
Language:English
Published: Elsevier 2020-11-01
Series:Patterns
Online Access:http://www.sciencedirect.com/science/article/pii/S2666389920301926
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spelling doaj-e8b395fa3027416cbf3189a64b09a4882020-11-25T04:03:50ZengElsevierPatterns2666-38992020-11-0118100144Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future PotentialMaximilian E. Tschuchnig0Gertie J. OostinghMichael GadermayrCorresponding authorhttp://www.sciencedirect.com/science/article/pii/S2666389920301926
collection DOAJ
language English
format Article
sources DOAJ
author Maximilian E. Tschuchnig
Gertie J. Oostingh
Michael Gadermayr
spellingShingle Maximilian E. Tschuchnig
Gertie J. Oostingh
Michael Gadermayr
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential
Patterns
author_facet Maximilian E. Tschuchnig
Gertie J. Oostingh
Michael Gadermayr
author_sort Maximilian E. Tschuchnig
title Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential
title_short Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential
title_full Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential
title_fullStr Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential
title_full_unstemmed Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential
title_sort generative adversarial networks in digital pathology: a survey on trends and future potential
publisher Elsevier
series Patterns
issn 2666-3899
publishDate 2020-11-01
url http://www.sciencedirect.com/science/article/pii/S2666389920301926
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AT gertiejoostingh generativeadversarialnetworksindigitalpathologyasurveyontrendsandfuturepotential
AT michaelgadermayr generativeadversarialnetworksindigitalpathologyasurveyontrendsandfuturepotential
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