慢性鼻窦炎伴鼻息肉生物制剂数据集

数据集获取

源站：https://clinicaltrials.gov/study/NCT06824649

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 Sinusitis, Nasal Polyps. The prevalence of Chronic Sinusitis with Nasal Polyps (CRSwNP) in the United States is estimated at roughly 4%, which equates to over 13 million Americans. Until recently, the only medical treatment options available for patients with CRSwNP were corticosteroids, with surgery reserved for medical failure. The development of biologic medications over the last 5 years has revolutionized the treatment of CRSwNP. Three biologic medications have been FDA approved and available for the treatment of CRSwNP: dupilumab, omalizumab, and mepolizumab. However, data from the clinical trials for these drugs do not show universal improvement across all patients with CRSwNP. In fact, there is a wide range of outcomes for patients in these trials. The result is that clinicians have no way of knowing which specific biologic would be the best option for any given patient, nor do they know whether biomarkers can be used to predict response to biologics. It is hoped that findings from this study will inform whether any one biologic has superior outcomes to another and whether clinicians can identify patients at baseline who are most likely to improve on biologic therapy.

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。