Automated Diagnosis of Diabetic Retinopathy Using Clinical Biomarkers, Optical Coherence Tomography, and Optical Coherence Tomography Angiography-Reference-Cited by-同舟云学术

Automated Diagnosis of Diabetic Retinopathy Using Clinical Biomarkers, Optical Coherence Tomography, and Optical Coherence Tomography Angiography

Published:2020-08 Issue: Volume:216 Page:201-206
ISSN:0002-9394
Container-title:American Journal of Ophthalmology
language:en
Short-container-title:American Journal of Ophthalmology

Author:

Sandhu Harpal Singh,Elmogy Mohammed^ORCID,Taher Sharafeldeen Ahmed,Elsharkawy Mohamed,El-Adawy Nabila,Eltanboly Ahmed,Shalaby Ahmed,Keynton Robert,El-Baz Ayman

Funder

Al Jalila Foundation

United Arab Emirates University

Publisher

Elsevier BV

Subject

Ophthalmology

Reference16 articles.

1. IDF diabetes atlas: global estimates of diabetes prevalence for 2017 and projections for 2045;Cho;Diabetes Res Clin Pract,2018

2. Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning;Poplin;Nat Biomed Eng,2018

3. Automated diabetic retinopathy detection using optical coherence tomography angiography: a pilot study;Sandhu;Br J Ophthalmol,2018

4. A computer-aided diagnostic system for detecting diabetic retinopathy in optical coherence tomography images;Eltanboly;Med Phys,2017

5. Evaluation of automatically quantified avascular zone metrics for diagnosis of diabetic retinopathy using optical coherence tomography angiography;Lu;Invest Ophthalmol Vis Sci,2018

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