唾液蛋白质的结构与功能

数据集获取

源站：https://clinicaltrials.gov/study/NCT00916682

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. The overall hypothesis of this study is that whole saliva and its components, due to its direct anatomic relation to the airways, provides a window on the composition and nature of the disease-specific response in the bronchial, sinus, and nasal airways. By examining proteins created in saliva, we hope to validate that saliva is an important diagnostic tool for for rapid analysis of respiratory status. We further propose that rapid salivary diagnostics will improve patient care in prevalent respiratory diseases with frequent health care utilization and high morbidity, such as asthma, chronic obstructive pulmonary disease (COPD), and cystic fibrosis (CF).

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。