Open AccessEffect of optical coherence tomography and angiography sampling rate towards diabetic retinopathy severity classification
Author(s) -
Timothy T. Yu,
Da Ma,
Julian Lo,
Myeong Jin Ju,
Mirza Faisal Beg,
Marinko V. Sarunic
Publication year - 2021
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.431992
Subject(s) - optical coherence tomography , diabetic retinopathy , medicine , angiography , ophthalmology , optical coherence tomography angiography , optometry , fluorescein angiography , retina , artificial intelligence , radiology , computer science , retinal , optics , diabetes mellitus , endocrinology , physics
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 en face 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.