Poster + Presentation
5 March 2021 Quantitative OCT features of outer retina for early diagnosis and objective classification of diabetic retinopathy
Author Affiliations +
Conference Poster
Abstract
Diabetic retinopathy (DR) is a leading cause of preventable blindness. Early detection and reliable stage classification are essential to ensure prompt medical interventions. Recent study suggests that the outer retina, i.e., photoreceptors, can be affected by early DR. We demonstrate here the potential of using quantitative OCT features in outer retina for objective detection and stage classification of DR. The OCT intensity change is observed to be mostly sensitive, compared to retina thickness and bandwidth, to DR stages. It is also confirmed that the relative intensity changes of photoreceptor outer segment are more sensitive than inner segment for DR classification.
Conference Presentation
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Taeyoon Son, David Le, Jennifer I. Lim, and Xincheng Yao "Quantitative OCT features of outer retina for early diagnosis and objective classification of diabetic retinopathy", Proc. SPIE 11623, Ophthalmic Technologies XXXI, 116231P (5 March 2021); https://doi.org/10.1117/12.2577255
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KEYWORDS
Optical coherence tomography

Retina

Image classification

Image segmentation

Injuries

Optical properties

Pathogens

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