EAR-UNet: A deep learning-based approach for segmentation of tympanic membranes from otoscopic images-Reference-Cited by-同舟云学术

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EAR-UNet: A deep learning-based approach for segmentation of tympanic membranes from otoscopic images

Published:2021-05 Issue: Volume:115 Page:102065
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Pham Van-Truong,Tran Thi-Thao,Wang Pa-Chun,Chen Po-Yu,Lo Men-Tzung

Funder

National Foundation for Science and Technology Development

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference37 articles.

1. The diagnosis and management of acute otitis media;Lieberthal;Pediatrics,2013

2. Decrease in pneumococcal otitis media cultures with concomitant increased antibiotic susceptibility in the pneumococcal conjugate vaccines era;Jabarin;Otol Neurotol,2017

3. Quantitative analysis of tympanic membrane disease using video-otoscopy;Jaisinghani;Laryngoscope,2000

4. Pediatric Otitis Media in Fiji: Survey Findings 2015;Fang;Int J Pediatr Otorhinolaryngol Extra,2016

5. Development of an automatic diagnostic algorithm for pediatric otitis media;Tran;Otol Neurotol,2018

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