Investigating the use of a two-stage attention-aware convolutional neural network for the automated diagnosis of otitis media from tympanic membrane images: a prediction model development and validation study

Investigating the use of a two-stage attention-aware convolutional neural network for the automated diagnosis of otitis media from tympanic membrane images: a prediction model development and validation study

Objectives This study investigated the usefulness and performance of a two-stage attention-aware convolutional neural network (CNN) for the automated diagnosis of otitis media from tympanic membrane (TM) images.Design A classification model development and validation study in ears with otitis media...

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Bibliographic Details
Main Authors: Fei Zhao, Yuexin Cai, Jin-Gang Yu, Yuebo Chen, Chu Liu, Lichao Xiao, Emad M Grais, Liping Lan, Shengxin Zeng, Junbo Zeng, Minjian Wu, Yuejia Su, Yuanqing Li, Yiqing Zheng
Format: Article
Language:English
Published: BMJ Publishing Group 2021-01-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/11/1/e041139.full

Internet

https://bmjopen.bmj.com/content/11/1/e041139.full

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