Automated diagnosis of ear disease using ensemble deep learning with a big otoendoscopy image databaseResearch in context

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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Bibliographic Details
Main Authors: Dongchul Cha, Chongwon Pae, Si-Baek Seong, Jae Young Choi, Hae-Jeong Park
Format: Article
Language:English
Published: Elsevier 2019-07-01
Series:EBioMedicine
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396419304311