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

Optical coherence tomography angiography (OCT-A) may help in the diagnosis of diabetic retinopathy (DR). The OCT-A field-of-view and the volume acquisition rate are limited by the number of samples. We explore the effect of reduced lateral sampling on DR classification with Deep Learning. © 2021 The...

Full description

Saved in:
Bibliographic Details
Main Authors: Timothy, TL. Yu, Ma, Da, Lo, Julian, Ju, Myeong Jin, Beg, Mirza F., Sarunic, Marinko V.
Format: Conference Proceeding
Language:English
Subjects:
Angiography
Conferences
Deep learning
Diabetes
Image resolution
Optical coherence tomography
Retinopathy
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Optical coherence tomography angiography (OCT-A) may help in the diagnosis of diabetic retinopathy (DR). The OCT-A field-of-view and the volume acquisition rate are limited by the number of samples. We explore the effect of reduced lateral sampling on DR classification with Deep Learning. © 2021 The Authors.
ISSN:2575-274X
DOI:10.1109/IPC48725.2021.9592921