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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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| Publicado no: | EBioMedicine |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6642402/ https://ncbi.nlm.nih.gov/pubmed/31272902 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ebiom.2019.06.050 |
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