用于眼内肿瘤智能诊断的超广角眼底图像数据集

数据集获取（Figshare）

• 源站标题：An ultra-wide-field fundus image dataset for intelligent diagnosis of intraocular tumors
• DOI：10.6084/m9.figshare.27986258.v1
• 发布日期：2025-08-30
• 文件数：1 个
• 文件总体积：1.97 GB
• 源站页面：https://springernature.figshare.com/articles/dataset/An_ultra-wide-field_fundus_image_dataset_for_intelligent_diagnosis_of_intraocular_tumors/27986258

命令行下载

curl -L -o "UWF Fundus Images of Intraocular Tumors.rar" "https://ndownloader.figshare.com/files/51055511"

文件清单

• UWF Fundus Images of Intraocular Tumors.rar（1.97 GB）

文件总体积 1.97 GB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

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.

许可

CC BY

引用

学术使用请引用 DOI 10.6084/m9.figshare.27986258.v1（source: https://springernature.figshare.com/articles/dataset/An_ultra-wide-field_fundus_image_dataset_for_intelligent_diagnosis_of_intraocular_tumors/27986258）。