静脉血栓栓塞症长期结局研究

数据集获取

源站：https://clinicaltrials.gov/study/NCT02268630

标准获取流程：

1. 访问源站链接，注册/登录账号；
2. 进入数据集详情页，按页面指引申请权限或直接下载；
3. 部分平台提供 SDK，例如：
   • OpenDataLab: pip install openxlab 后 openxlab.dataset.get(...)
   • ModelScope: pip install modelscope 后 modelscope download
   • 天池: 登录后页面提供直链下载
     以源站「数据下载/使用文档」页面为准。

数据说明

Conditions: Post Thrombotic Syndrome, Chronic Thromboembolic Pulmonary Hypertension, Venous Thrombosis. This prospective observational follow-up study is designed to assess the long-term outcomes after VTE and to assess the effect of NOAC (rivaroxaban) on the prevalence of PTS. All patients diagnosed and treated for VTE at SØF from 01.01.2011 will be invited to participate in this study. Newly diagnosed patients will be recruited and followed-up according to the study schedule which is based on state of the art international guidelines. First follow-up will be performed at the end of treatment period, which is usually 3 or 6 months after an event of VTE, or at one year if patients will be put on permanent AC. Thereafter, patients will be followed-up annually for at least 5 years or up to the end of the study, i.e for 10 years. The primary endpoints of the study are the development of PTS and CTEPH after VTE. There will be 3 visits: at 3 or 6 months depending on the duration of AC, at 2 and 5 years, in addition to a visit for TTE at 6 months. Remaining follow-ups will be performed by phone or by mail. All patients with PE will be examined by TTE 6 months after the diagnosis of PE. Those with signs of PAH will be referred for further work-up to establish the presence or absence of CTEPH at specialized centres. Patients with DVT will be evaluated for PTS at 2 and 5 years and for CTEPH if they develop dyspnoea. As for part b of the primary objective, the study will allow inclusion of patients with previous DVT diagnosed after 01.01.11.

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。