Open AccessA Deep Learning Approach for Histopathological Diagnosis of Onychomycosis: Not Inferior to Analogue Diagnosis by Histopathologists
Author(s) -
Florence Decroos,
Sebastian Springenberg,
T. Lang,
M. Päpper,
Antonia Zapf,
Dieter Metze,
Volker Steinkraus,
Almut BöerAuer
Publication year - 2021
Publication title -
acta dermato venereologica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.982
H-Index - 83
eISSN - 1651-2057
pISSN - 0001-5555
DOI - 10.2340/00015555-3893
Subject(s) - dermatopathology , artificial intelligence , deep learning , margin (machine learning) , medicine , receiver operating characteristic , nail (fastener) , dermatology , diagnostic accuracy , machine learning , medical physics , pattern recognition (psychology) , computer science , radiology , engineering , mechanical engineering
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