Open AccessOn the acceptance of “fake” histopathology: A study on frozen sections optimized with deep learning
Author(s) -
Michael Gadermayr,
Mario Siller,
L Stangassinger,
Christina Kreutzer,
Peter Boor,
Roman David Bülow,
TheoJ F Kraus,
Saskia von Stillfried,
S Wölfl,
Sébastien CouillardDesprés,
G Oostingh,
A Hittmair
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