Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network-Reference-Cited by-同舟云学术

Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network

Published:2018-01-19 Issue:1 Volume:13 Page:e0191493
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Han Seung Seog^ORCID,Park Gyeong Hun,Lim Woohyung,Kim Myoung Shin,Na Jung Im,Park Ilwoo,Chang Sung Eun^ORCID

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

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