Diabetic eye sentinel: prescreening of diabetic retinopathy using retinal images obtained by a mobile phone camera-Reference-Cited by-同舟云学术

Diabetic eye sentinel: prescreening of diabetic retinopathy using retinal images obtained by a mobile phone camera

Published:2021-10-02 Issue:1 Volume:81 Page:1447-1466
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Ruennak Thayanee,Aimmanee Pakinee^ORCID,Makhanov Stanislav,Kanchanaranya Navapol,Vongkittirux Sakchai

Funder

Thai Government Research Fund

National Research Council of Thailand

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-021-11364-3.pdf

Reference32 articles.

1. Abràmoff MD, Folk JC, Han DP, Walker JD, Williams DF, Russell SR (2013) Automated analysis of retinal images for detection of referable diabetic retinopathy. JAMA Ophthalmol 131(3):351–357

2. ADCIS Inc (2020) Messidor-2. http://www.adcis.net/en/third-party/messidor2/. Accessed 1 Feb 2020

3. Bastawrous A (2019) Peek vision. https://www.peekvision.org. Accessed 9 July 2019

4. David V (2018) Volk iNview | iPhone Fundus camera. http://volk.com/index.php/volk-products/ophthalmic-cameras/volk-inview.html. Accessed 1 Aug 2018

5. Diabetes Prevalence (2020) https://www.diabetes.co.uk/diabetes-prevalence.html. Accessed 1 Feb 2020

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