两种眼底相机图像质量数据集

数据集获取（Figshare）

• 源站标题：Quality of images with both fundus cameras.
• DOI：10.1371/journal.pdig.0000649.t005
• 发布日期：2024-11-08
• 文件数：1 个
• 文件总体积：5.63 KB
• 源站页面：https://plos.figshare.com/articles/dataset/Quality_of_images_with_both_fundus_cameras_/27639797

命令行下载

curl -L -o "Table 5.xls" "https://ndownloader.figshare.com/files/50319524"

文件清单

• Table 5.xls（5.63 KB）

文件总体积 5.63 KB（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

Background
Diabetic retinopathy (DR) is a leading cause of blindness globally. The gold standard for DR screening is stereoscopic colour fundus photography with tabletop cameras. VistaView is a novel smartphone-based retinal camera which offers mydriatic retinal imaging. This study compares the diagnostic accuracy of the smartphone-based VistaView camera compared to a traditional desk mounted fundus camera (Triton Topcon). We also compare the agreement between graders for DR screening between VistaView images and Topcon images.
Methodology
This prospective study took place between December 2021 and June 2022 in Pakistan. Consecutive diabetic patients were imaged following mydriasis using both VistaView and Topcon cameras at the same sitting. All images were graded independently by two graders based on the International Classification of Diabetic Retinopathy (ICDR) criteria. Individual grades were assigned for severity of DR and maculopathy in each image. Diagnostic accuracy was calculated using the Topcon camera as the gold standard. Agreement between graders for each device was calculated as intraclass correlation coefficient (ICC) (95% CI) and Cohen’s weighted kappa (k).
Principal findings
A total of 1428 images were available from 371 patients with both cameras. After excluding ungradable images, a total of 1231 images were graded. The sensitivity of VistaView for any DR was 69.9% (95% CI 62.2–76.6%) while the specificity was 92.9% (95% CI 89.9–95.1%), and PPV and NPV were 80.5% (95% CI 73–86.4%) and 88.1% (95% CI 84.5–90.9) respectively. The sensitivity of VistaView for RDR was 69.7% (95% CI 61.7–76.8%) while the specificity was 94.2% (95% CI 91.3–96.1%), and PPV and NPV were 81.5% (95% CI 73.6–87.6%) and 89.4% (95% CI 86–92%) respectively. The sensitivity for detecting maculopathy in VistaView was 71.2% (95% CI 62.8–78.4%), while the specificity was 86.4% (82.6–89.4%). The PPV and NPV of detecting maculopathy were 63% (95% CI 54.9–70.5%) and 90.1% (95% CI 86.8–92.9%) respectively. For VistaView, the ICC of DR grades was 78% (95% CI, 75–82%) between the two graders and that of maculopathy grades was 66% (95% CI, 59–71%). The Cohen’s kappa for retinopathy gra

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pdig.0000649.t005（source: https://plos.figshare.com/articles/dataset/Quality_of_images_with_both_fundus_cameras_/27639797）。