Open AccessOn the acceptance of “fake” histopathology: A study on frozen sections optimized with deep learning
Author(s) -
Mario Siller,
Lea Maria Stangassinger,
Christina Kreutzer,
Peter Boor,
Roman D. Bülow,
Theo F. J. Kraus,
Saskia von Stillfried,
S Wölfl,
Sébastien CouillardDesprés,
Gertie J. Oostingh,
A Hittmair,
Michael Gadermayr
Publication year - 2022
Publication title -
journal of pathology informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.009
H-Index - 17
ISSN - 2153-3539
DOI - 10.4103/jpi.jpi_53_21
Subject(s) - computer science , artificial intelligence , deep learning , frozen section procedure , digital pathology , generative adversarial network , artificial neural network , normalization (sociology) , machine learning , pattern recognition (psychology) , pathology , medicine , sociology , anthropology
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