An ultra-wide-field fundus image dataset for intelligent diagnosis of intraocular tumors

This dataset consisted of 2,031 ultra-wide-field fundus images, encompassing five distinct types of intraocular tumors and normal images. It is provided as a zipped file containing six subfolders, each corresponding to a specific category: Normal, Choroidal Hemangioma (CH), Retinal Capillary Hemangioma (RCH), Choroidal Osteoma (CO), Retinoblastoma (RB), and Uveal Melanoma (UM). Each subfolder includes all the fundus images belonging to its respective category. The dataset is designed to facilitate the development of AI algorithms aimed at automating the detection of intraocular tumors.

本数据集共收录2031张超广角眼底图像，涵盖五类不同的眼内肿瘤与正常眼底样本。该数据集以压缩包形式提供，内含六个子文件夹，分别对应六大类别：正常组、脉络膜血管瘤（Choroidal Hemangioma, CH）、视网膜毛细血管瘤（Retinal Capillary Hemangioma, RCH）、脉络膜骨瘤（Choroidal Osteoma, CO）、视网膜母细胞瘤（Retinoblastoma, RB）及葡萄膜黑色素瘤（Uveal Melanoma, UM）。每个子文件夹均存储了所属类别的全部眼底图像。本数据集旨在推动面向眼内肿瘤自动化检测的人工智能算法开发工作。