囊性纤维化患者肺部微生物新诊断研究

数据集获取

源站：https://clinicaltrials.gov/study/NCT07312734

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: Cystic Fibrosis (CF), New Diagnostics. People with cystic fibrosis (CF) often get lung infections that can make their breathing worse and make their lungs weaker over time. Sputum culture is usually analyzed to find these infections. Currently, many people with CF are using CFTR modulators. These medicines help, but they also make it harder for people to cough up sputum. Even though people with CF are making less sputum, lung infections are still a problem. New ways are needed to check for infections without using sputum. The SEND-CF study wants to gather health information and samples from people with CF in order to find new and better ways to spot harmful bacteria in the lungs. Participants, who typically are able to produce sputum who consent to participate will be asked to provide samples including sputum, saliva, serum, plasma, buffy coat, urine, and whole blood. Some participants will also provide breath samples for a sub-study.

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。