首个以色列来源的高分辨率眼底图像数据集，助力阿尔茨海默病诊断研究。
HYAMD High-Resolution Fundus Image Dataset for age related macular degeneration (AMD) Diagnosis
- 构建包含1560张眼底图像的纵向数据集，覆盖不同阶段的黄斑变性患者。
- 提供基于临床评估的金标准标注，涵盖AMD与糖尿病视网膜病变患者。
- 适用于机器学习模型训练，尤其适合关注眼科疾病智能诊断的研究者。
HYAMD数据集是来自以色列海德拉希莱尔·亚夫医疗中心（2021–2024年）的纵向眼底图像集合，共包含325名患者的1560张数字眼底图像（DFIs）。其中147名为年龄相关性黄斑变性（AMD）患者（年龄54–94岁），190名为糖尿病视网膜病变（DR）患者（年龄24–92岁）作为对照组。所有AMD诊断均基于全面的眼科临床评估，并辅以光学相干断层扫描（OCT）和OCT血管成像。非AMD图像来自无并发AMD的DR患者，通过视网膜中央凹OCT、荧光素血管造影及广域成像确诊。数据集采用金标准标注，确保标签准确性。图像由DRI OCT Triton（Topcon）相机采集，视野45°，分辨率为1960×1934像素。据我们所知，HYAMD是首个公开获取的以色列人群眼底图像数据集，专为支持基于机器学习的AMD识别而设计。
原文摘要 · Abstract (English)
The Hillel Yaffe Age Related Macular Degeneration (HYAMD) dataset is a longitudinal collection of 1,560 Digital Fundus Images (DFIs) from 325 patients examined at the Hillel Yaffe Medical Center (Hadera, Israel) between 2021 and 2024. The dataset includes an AMD cohort of 147 patients (aged 54-94) with varying stages of AMD and a control group of 190 diabetic retinopathy (DR) patients (aged 24-92). AMD diagnoses were based on comprehensive clinical ophthalmic evaluations, supported by Optical Coherence Tomography (OCT) and OCT angiography. Non-AMD DFIs were sourced from DR patients without concurrent AMD, diagnosed using macular OCT, fluorescein angiography, and widefield imaging. HYAMD provides gold-standard annotations, ensuring AMD labels were assigned following a full clinical assessment. Images were captured with a DRI OCT Triton (Topcon) camera, offering a 45 deg field of view and 1960 x 1934 pixel resolution. To the best of our knowledge, HYAMD is the first open-access retinal dataset from an Israeli sample, designed to support AMD identification using machine learning models.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。