Development and deployment of a smartphone application for diagnosing trachoma: Leveraging code-free deep learning and edge artificial intelligence-Reference-Cited by-同舟云学术

Development and deployment of a smartphone application for diagnosing trachoma: Leveraging code-free deep learning and edge artificial intelligence

Published:2023 Issue:3 Volume:37 Page:200
ISSN:1319-4534
Container-title:Saudi Journal of Ophthalmology
language:en
Short-container-title:Saudi J Ophthalmol

Author:

Duval Renaud,Milad Daniel,Antaki Fares,Robert Marie-Claude

Publisher

Medknow

Subject

Ophthalmology

Reference45 articles.

1. Trachoma Fact Sheet, World Health Organization. Available from: https://www.who.int/news-room/fact-sheets/detail/trachoma#:~:text=Key%20facts, of%20about%201.9%20million%20people. [Last accessed on 2022 Oct 17].

2. Implementing trachoma control programmes in marginalised populations in Tanzania: A qualitative study exploring the experiences and perspectives of key stakeholders;Tsang;PLoS Negl Trop Dis,2021

3. Challenges of trachoma control: An assessment of the situation in Northern Nigeria;Rabiu;Middle East Afr J Ophthalmol,2011

4. The cost of mapping trachoma: Data from the global trachoma mapping project;Trotignon;PLoS Negl Trop Dis,2017

5. Inter-rater agreement between trachoma graders: Comparison of grades given in field conditions versus grades from photographic review;Gebresillasie;Ophthalmic Epidemiol,2015

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