Automatic Prediction of Conductive Hearing Loss Using Video Pneumatic Otoscopy and Deep Learning Algorithm-Reference-Cited by-同舟云学术

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Automatic Prediction of Conductive Hearing Loss Using Video Pneumatic Otoscopy and Deep Learning Algorithm

Published:2022-03-29 Issue:5 Volume:43 Page:1563-1573
ISSN:1538-4667
Container-title:Ear & Hearing
language:en
Short-container-title:

Author:

Byun Hayoung,Park Chae Jung,Oh Seong Je,Chung Myung Jin,Cho Baek Hwan,Cho Yang-Sun

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Speech and Hearing,Otorhinolaryngology

Reference26 articles.

1. An assistive role of a machine learning network in diagnosis of middle ear diseases.;Byun;J Clin Med,2021

2. Automated diagnosis of ear disease using ensemble deep learning with a big otoendoscopy image database.;Cha;EBioMedicine,2019

3. Automated measurement of hydrops ratio from MRI in patients with Ménière’s disease using CNN-based segmentation.;Cho;Sci Rep,2020

4. Video pneumatic otoscopy for the diagnosis of otitis media with effusion: a quantitative approach.;Cho;Eur Arch Otorhinolaryngol,2009

5. Deep learning models for screening of high myopia using optical coherence tomography.;Choi;Sci Rep,2021

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