Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0

Retinal Fundus Multi-disease Image Dataset (RFMiD 2.0) is an auxiliary dataset to our previously published dataset. RFMiD 2.0 is a more challenging dataset to research society to develop the computer-based disease diagnosis system. Diabetic Retinopathy, cataracts, and refractive error in the eye are leading disease which causes permanent vision loss more frequently. Therefore, developing an AI-based model to classify these diseases is useful for ophthalmologists. This dataset consists of 860 images of frequently and rarely observed 51 diseases. However, some images are labeled with multiple diseases. This dataset is useful for the research and development of AI-based medical healthcare systems in ophthalmology. 多疾病视网膜眼底图像数据集（Retinal Fundus Multi-disease Image Dataset，RFMiD 2.0）是我们此前公开发布的数据集的辅助数据集。RFMiD 2.0对于科研界开发基于计算机的疾病诊断系统而言，是一项更具挑战性的数据集。糖尿病视网膜病变（Diabetic Retinopathy）、白内障（cataracts）以及眼部屈光不正是引发永久性视力丧失的主要高发疾病。因此，开发用于分类此类疾病的人工智能模型，对眼科医师具有重要实用价值。本数据集包含覆盖51种常见与罕见疾病的860张图像，但部分图像被标注了多种疾病标签。本数据集可用于眼科领域基于人工智能的医疗保健系统的研发工作。

搜集汇总

背景与挑战

背景概述

RFMiD 2.0是一个包含860张视网膜眼底图像的数据集，涵盖51种常见和罕见眼部疾病，部分图像为多标签标注，旨在为眼科AI医疗保健系统的研发提供支持。数据集已预分为训练集、验证集和测试集，便于直接用于开发基于AI的疾病分类模型，是之前版本的辅助且更具挑战性的扩展。