Data on Fundus Images for Vessels Segmentation, Detection of Hypertensive Retinopathy, Diabetic Retinopathy and Papilledema

We presents a dataset of 100 fundus digital images of retina. The retinal images are taken from Armed Forces Institute of Ophthalmology (AFIO), Rawalpindi, Pakistan and annotated with the help of four expert ophthalmologists for the purpose of computer aided diagnosis of hypertensive retinopaty, diabetic retinopathy and papilledema. This dataset contains retinal blood vessels network, segmented artery/ vein network to calculate Arteriovenous Ratio (AVR), annotation of Optic Nerve Head (ONH) and various retinal abnormalities such as hard exudates (HE) and cotton wool spots. The dataset is valuable for those researchers who are developing automated systems for vessels segmentation, artery/ vein classification, diagnosis of hypertensive retinopathy, diabetic retinopathy and papilledema. Please cite the following article if you want to use this dataset: Muhammad Usman Akram, Shahzad Akbar, Taimur Hassan, Sajid Gul Khawaja, Ubaidullah Yasin, Imran Basit, "Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema", Data in Brief, Volume 29, 105282, ISSN 2352-3409, 2020.本数据集包含100张视网膜眼底数字图像。所有视网膜眼底图像采集自巴基斯坦拉瓦尔品第的武装部队眼科研究所（Armed Forces Institute of Ophthalmology, AFIO），由四名资深眼科医师协助标注，用于计算机辅助诊断高血压性视网膜病变、糖尿病性视网膜病变及视乳头水肿。本数据集涵盖视网膜血管网络、用于计算动静脉比值（Arteriovenous Ratio, AVR）的分割动/静脉网络、视神经乳头（Optic Nerve Head, ONH）标注信息，以及多种视网膜异常病变，例如硬性渗出（Hard Exudates, HE）与棉绒斑。本数据集对于致力于开发血管分割、动静脉分类以及高血压性视网膜病变、糖尿病性视网膜病变、视乳头水肿自动化诊断系统的研究人员具有重要应用价值。若您使用本数据集，请引用以下文献：Muhammad Usman Akram、Shahzad Akbar、Taimur Hassan、Sajid Gul Khawaja、Ubaidullah Yasin、Imran Basit，《Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema》，《Data in Brief》，第29卷，文章编号105282，ISSN 2352-3409，2020年。