Optical Coherence Tomography Angiography-OCTA dataset for the study of Diabetic Retinopathy
Pooja Bidwai, Shilpa Gite, Biswajeet Pradhan, Aditi Gupta, Kishore, pahuja
TL;DR
This paper introduces a new OCTA retinal image dataset from Indian patients, annotated for diabetic retinopathy, to facilitate development of automated early detection diagnostic tools.
Contribution
The paper provides a publicly available OCTA dataset of retinal images with expert annotations specifically for diabetic retinopathy research.
Findings
Dataset includes 268 images from 179 patients.
Images captured using Optovue Avanti OCTA device.
Annotations provided by ophthalmologists.
Abstract
This study presents a dataset consisting of 268 retinal images from 179 individuals, including 133 left-eye and 135 right-eye images, collected from Natasha Eye Care and Research Institute in Pune, Maharashtra, India. The images were captured using a nonmydriatic Optical Coherence Tomography Angiography (OCTA) device, specifically the Optovue Avanti Edition machine as per the protocol mentioned in this paper. Two ophthalmologists then annotated the images. This dataset can be used by researchers and doctors to develop automated diagnostic tools for early detection of diabetic retinopathy (DR).
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Taxonomy
TopicsRetinal Imaging and Analysis · Retinal Diseases and Treatments · Cerebrovascular and Carotid Artery Diseases