Monitoring the Progression of Clinically Suspected Microbial Keratitis Using Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Monitoring the Progression of Clinically Suspected Microbial Keratitis Using Convolutional Neural Networks

Published:2023-11-01 Issue:11 Volume:12 Page:1
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Kuo Ming-Tse¹²³,Hsu Benny Wei-Yun⁴,Lin Yi Sheng⁴,Fang Po-Chiung¹²³,Yu Hun-Ju¹³,Hsiao Yu-Ting¹,Tseng Vincent S.⁴

Affiliation:

1. Department of Ophthalmology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung City, Taiwan

2. School of Medicine, Chang Gung University, Taoyuan City, Taiwan

3. School of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung City, Taiwan

4. Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

Reference34 articles.

1. Update on the management of infectious keratitis;Austin;Ophthalmology,2017

2. Infectious keratitis: an update on epidemiology, causative microorganisms, risk factors, and antimicrobial resistance;Ting;Eye (Lond),2021

3. The persistent dilemma of microbial keratitis: global burden, diagnosis, and antimicrobial resistance;Ung;Surv Ophthalmol,2019

4. The Asia Cornea Society Infectious Keratitis Study: a prospective multicenter study of infectious keratitis in Asia;Khor;Am J Ophthalmol,2018

5. Pediatric microbial keratitis in Taiwan: clinical and microbiological profiles, 1998-2002 versus 2008-2012;Lee;Am J Ophthalmol,2014

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