Effect of Optical Coherence Tomography and Angiography Sampling Rate Towards Diabetic Retinopathy Severity Classification

Overview

Journal Biomed Opt Express

Specialty Radiology

Date 2021 Nov 8

PMID 34745763

Citations 2

Authors

Timothy T Yu

Da Ma

Julian Lo

Myeong Jin Ju

Mirza Faisal Beg

Marinko V Sarunic

Affiliations

Soon will be listed here.

Abstract

Optical coherence tomography (OCT) and OCT angiography (OCT-A) may benefit the screening of diabetic retinopathy (DR). This study investigated the effect of laterally subsampling OCT/OCT-A scans by up to a factor of 8 when using deep neural networks for automated referable DR classification. There was no significant difference in the classification performance across all evaluation metrics when subsampling up to a factor of 3, and only minimal differences up to a factor of 8. Our findings suggest that OCT/OCT-A can reduce the number of samples (and hence the acquisition time) for a volume for a given field of view on the retina that is acquired for rDR classification.

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