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

Although there have been reports of the successful diagnosis of skin disorders using deep learning, unrealistically large clinical image datasets are required for artificial intelligence (AI) training. We created datasets of standardized nail images using a region-based convolutional neural network...

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Detalles Bibliográficos
Autores principales: Han, Seung Seog, Park, Gyeong Hun, Lim, Woohyung, Kim, Myoung Shin, Na, Jung Im, Park, Ilwoo, Chang, Sung Eun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5774804/
https://www.ncbi.nlm.nih.gov/pubmed/29352285
http://dx.doi.org/10.1371/journal.pone.0191493

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5774804/
https://www.ncbi.nlm.nih.gov/pubmed/29352285
http://dx.doi.org/10.1371/journal.pone.0191493

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