成人感染中原发性免疫缺陷的系统性筛查

数据集获取

源站：https://clinicaltrials.gov/study/NCT02972281

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: Complement Deficiency, Antibody Deficiency, Chronic Sinus Infection, Meningitis, Bacterial, Pneumonia, Bacterial, Otitis Media, Streptococcal Infection, Neisseria Infections. Antibody deficiencies and complement deficiencies are the most frequent Primary immunodeficiencies (PIDs) in adults, and are associated with greatly increased susceptibility to recurrent and/or severe bacterial infections - especially upper and lower respiratory tract infections and meningitis. The literature data suggest that PIDs are under-diagnosed in adults. The current European and US guidelines advocate screening adults for PIDs if they present recurrent benign especially upper and lower respiratory tract infections, or if they have experienced at least two severe bacterial infections and/or have a recurrent need for intravenous antibiotics. The objective of the demonstrate the interest of PIDs screening in adult patients who present such recurrent infections and/or after the first severe bacterial infection, especially when the patients do not present with known, etiologically relevant comorbidities.

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。