彩色眼底照片诊断数据集

We collected a structured ophthalmic database of 5,000 patients with age, color fundus photographs from left and right eyes and doctors’ diagnostic keywords from doctors (in short, ODIR-5K). This dataset is ‘‘real-life’’ set of patient information collected by Shanggong Medical Technology Co., Ltd. from different hospitals/medical centers in China. In these institutions, fundus images are captured by various cameras in the market, such as Canon, Zeiss and Kowa, resulting into varied image resolutions. Patient identifying information will be removed. Annotations are labeled by trained human readers with quality control management. They classify patient into eight labels including normal (N), diabetes (D), glaucoma (G), cataract (C), AMD (A), hypertension (H), myopia (M) and other diseases/abnormalities (O) based on both eye images and additionally patient age. The publishing of this dataset follows the ethical and privacy rules of China. Table 1 shows one record from ODIR-5K dataset.

The 5,000 patients in this challenge are divided into training, off-site testing and on-site testing subsets. Almost 4,000 cases are used in training stage while others are for testing stages (off-site and on-site). Table 2 shows the distribution of case number with respect to eight labels in different stages. Note: one patient may contains one or multiple labels.

我们收集了一个结构化的眼科数据库，该数据库包含 5,000 名患者的年龄、左右眼的彩色眼底照片以及医生的诊断关键词（简称 ODIR-5K）。该数据集是上工医疗科技有限公司从中国不同医院/医疗中心收集的“真实”患者信息集。在这些机构中，眼底图像由市场上的各种相机拍摄，例如佳能、蔡司和 Kowa，导致图像分辨率各不相同。患者识别信息将被删除。注释由经过培训的具有质量控制管理的人类读者标记。他们将患者分为八个标签，包括正常 (N)、糖尿病 (D)、青光眼 (G)、白内障 (C)、AMD (A)、高血压 (H)、近视 (M) 和其他疾病/异常 (O)在眼睛图像和患者年龄上。该数据集的发布遵循中国的道德和隐私规则。表 1 显示了来自 ODIR-5K 数据集的一条记录。

本次挑战的 5,000 名患者分为培训、非现场测试和现场测试子集。近 4,000 个案例用于培训阶段，而其他案例则用于测试阶段（场外和现场）。表2显示了不同阶段8个标签的案例数量分布。注意：一名患者可能包含一个或多个标签。