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Cellular diagnosis for the clinicians
Author(s) -
Tárnok Attila
Publication year - 2017
Publication title -
cytometry part a
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.316
H-Index - 90
eISSN - 1552-4930
pISSN - 1552-4922
DOI - 10.1002/cyto.a.23285
Subject(s) - computer science , digital pathology , data science , cellular pathology , cytopathology , pathology , biochemistry , medical physics , medicine , artificial intelligence , cytology