X射线血管造影图像与SYNTAX评分数据集

数据集获取（Figshare）

• 源站标题：X-Ray Angiography Images and SYNTAX-Score Dataset
• DOI：10.6084/m9.figshare.25801447.v1
• 发布日期：2024-09-27
• 文件数：2 个
• 文件总体积：740.74 MB
• 源站页面：https://figshare.com/articles/dataset/X-Ray_Angiography_Images_and_SYNTAX-Score_Dataset/25801447

命令行下载

curl -L -o "Frame Selection Function.py" "https://ndownloader.figshare.com/files/47029603"
curl -L -o "Total Samples.rar" "https://ndownloader.figshare.com/files/49202320"

文件清单

• Frame Selection Function.py（2.38 KB）
• Total Samples.rar（740.74 MB）

文件总体积 740.74 MB（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

Coronary Heart Disease (CHD) is becoming a leading cause of death worldwide. To assess coronary artery narrowing or stenosis, doctors use coronary angiography, which is considered the gold-standard method. Interventional cardiologists rely on angiography to decide on the best course of treatment for CHD, such as revascularisation with bypass surgery, coronary stents, or medication. However, angiography has some issues, including operator bias, inter-observer variability, and poor reproducibility. Automated interpretation of coronary angiography has not yet been developed, and only highly specialized physicians can perform these tasks. Developing automated angiogram interpretation and coronary artery stenosis estimation using Artificial Intelligence (AI) approaches requires a large dataset of X-ray angiography images that include clinical information. We have collected 232 X-ray images of heart vessels, along with the necessary angiographic variables, including the SYNTAX score, to help advance research on CAD-related machine learning and data mining algorithms. We hope that this dataset will ultimately advance clinical diagnosis in CHD.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.25801447.v1（source: https://figshare.com/articles/dataset/X-Ray_Angiography_Images_and_SYNTAX-Score_Dataset/25801447）。