鼻腔生物标志物用于呼吸系统疾病严重程度客观评估的研究

数据集获取

源站：https://clinicaltrials.gov/study/NCT06661252

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: Chronic Obstructive Pulmonary Disease (COPD), Asthma Patients, Asthma and Rhinitis, Asthmatic Patients, Asthma, Chronic Obstructive Pulmonary Disease (COPD), Rhinitis Allergic, Rhinitis, Allergic, Perennial and/or Seasonal, Non-allergic Rhinitis. This research study is an observational, single site study quantifying expression of biomarkers of respiratory disease in nasal fluid using the ABEL microsampler device. The primary objective of this study is to compare biomarker expression between healthy controls and participants with respiratory disorders such as chronic obstructive pulmonary disorder (COPD), hayfever, chronic sinusitis, asthma and rhinitis.

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。