公开268张糖尿病视网膜病变OCTA影像数据集，助力自动诊断研究。
Optical Coherence Tomography Angiography-OCTA dataset for the study of Diabetic Retinopathy
- 采集179人共268张眼底OCTA图像，左右眼均衡分布。
- 由两名眼科医生标注，覆盖左右眼各133/135例，数据真实可靠。
- 适合医学影像算法、糖尿病筛查工具开发者使用。
本研究发布一个包含268张视网膜图像的数据集，来自印度马哈拉施特拉邦浦那市Natasha Eye Care and Research Institute的179名个体，其中左眼133张，右眼135张。所有图像均使用非散瞳OCTA设备Optovue Avanti Edition按本文所述协议采集，随后由两位眼科医生完成标注。该数据集可为研究人员和临床医生开发糖尿病视网膜病变（DR）早期自动诊断工具提供支持。
原文摘要 · Abstract (English)
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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