Automated Diagnosis and Grading of Diabetic Retinopathy Using Optical Coherence Tomography

Investigative Ophthalmology & Visual Science
Harpal Singh SandhuAyman El-Baz

Abstract

We determine the feasibility and accuracy of a computer-assisted diagnostic (CAD) system to diagnose and grade nonproliferative diabetic retinopathy (NPDR) from optical coherence tomography (OCT) images. A cross-sectional, single-center study was done of type II diabetics who presented for routine screening and/or monitoring exams. Inclusion criteria were age 18 or older, diagnosis of diabetes mellitus type II, and clear media allowing for OCT imaging. Exclusion criteria were inability to image the macula, posterior staphylomas, proliferative diabetic retinopathy, and concurrent retinovascular disease. All patients underwent a full dilated eye exam and spectral-domain OCT of a 6 × 6 mm area of the macula in both eyes. These images then were analyzed by a novel CAD system that segments the retina into 12 layers; quantifies the reflectivity, curvature, and thickness of each layer; and ultimately uses this information to train a neural network that classifies images as either normal or having NPDR, and then further grades the level of retinopathy. A first dataset was tested by "leave-one-subject-out" (LOSO) methods and by 2- and 4-fold cross-validation. The system then was tested on a second, independent dataset. Using LOSO experi...Continue Reading

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Citations

Dec 18, 2018·Asia-Pacific Journal of Ophthalmology·Zhixi LiMingguang He
May 28, 2019·PloS One·Kathryn GarsideCristina Masoller
Nov 19, 2019·Translational Vision Science & Technology·Feng LiZhizheng Wu
May 31, 2019·Biomedical Engineering Online·Noushin EftekhariEhsan Saeedi
Aug 31, 2021·Journal of Imaging·Vasudevan LakshminarayananJanarthanam Jothi Balaji
Oct 30, 2020·Ophthalmologica. Journal international d'ophtalmologie. International journal of ophthalmology. Zeitschrift für Augenheilkunde·Sílvia RêgoMatilde Monteiro-Soares

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