Automated diagnosis of ear disease using ensemble deep learning with a big otoendoscopy image database

BACKGROUND: Ear and mastoid disease can easily be treated by early detection and appropriate medical care. However, short of specialists and relatively low diagnostic accuracy calls for a new way of diagnostic strategy, in which deep learning may play a significant role. The current study presents a...

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Detalles Bibliográficos
Autores principales: Cha, Dongchul, Pae, Chongwon, Seong, Si-Baek, Choi, Jae Young, Park, Hae-Jeong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Research paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642402/
https://www.ncbi.nlm.nih.gov/pubmed/31272902
http://dx.doi.org/10.1016/j.ebiom.2019.06.050

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642402/
https://www.ncbi.nlm.nih.gov/pubmed/31272902
http://dx.doi.org/10.1016/j.ebiom.2019.06.050

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