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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2019-07-01
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Series: | EBioMedicine |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352396419304311 |