Akram Muhammad Usman, Akbar Shahzad, Hassan Taimur, Khawaja Sajid Gul, Yasin Ubaidullah, Basit Imran
Department of Computer and Software Engineering, National University of Sciences and Technology, Islamabad, Pakistan.
Department of Information Technology, Bahauddin Zakariya University, Multan, Pakistan.
Data Brief. 2020 Feb 24;29:105282. doi: 10.1016/j.dib.2020.105282. eCollection 2020 Apr.
This paper presents a dataset that contains 100 high quality fundus images which are acquired from Armed Forces Institute of Ophthalmology (AFIO), Rawalpindi Pakistan. The dataset has been marked by four expert ophthalmologists to aid clinicians and researchers in screening hypertensive retinopathy, diabetic retinopathy and papilledema cases. Moreover, it contains highly detailed annotations for retinal blood vascular patterns, arteries and veins to calculate arteriovenous ratio (AVR), optic nerve head (ONH) region and other retinal anomalies such as hard exudates and cotton wool spots etc. The dataset is extremely useful for the researchers who are working in the ophthalmic image analysis.
本文展示了一个数据集,其中包含100张高质量的眼底图像,这些图像是从巴基斯坦拉瓦尔品第的武装部队眼科研究所(AFIO)获取的。该数据集已由四位眼科专家进行标注,以帮助临床医生和研究人员筛查高血压性视网膜病变、糖尿病性视网膜病变和视乳头水肿病例。此外,它还包含视网膜血管模式、动脉和静脉的高度详细注释,用于计算动静脉比(AVR)、视神经乳头(ONH)区域以及其他视网膜异常,如硬性渗出物和棉絮斑等。该数据集对于从事眼科图像分析的研究人员极为有用。