物理治疗方案在慢性上颌窦炎管理中的实施

数据集获取

源站：https://clinicaltrials.gov/study/NCT05875298

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 Maxillary Sinusitis. Rhino sinusitis is one of the most common health-care problems worldwide and its prevalence and incidence is increasing. Chronic Sinusitis is a big health problem worldwide that affects almost 15% of humans. The most affected sinus is the maxillary sinus as its drainage orifice through the hiatus semilunaris is badly placed near the roof of the sinus. The first line of treatment for sinusitis is mostly medical drugs including antimicrobial drugs, decongestants, nasal sprays, corticosteroids, and antihistamine drugs which can effectively dry the mucus. Physical therapy also offers a variety of treatment approaches for sinusitis. It includes various electrotherapy modalities, manual drainage techniques, suboccipital release for sinus headaches, needling, and rhino flow therapy. In spite of many studies and treatment approaches done on sinusitis, there are limitations faced in evidence of which approval is most effective, The objective of our study is to investigate the effect of physical therapy protocol in people with chronic maxillary sinusitis.sixty six patients with chronic maxillary sinusitis will be allocated randomly to three groups; one group will receive physical therapy protocol, second one will receive medication only and the third one will receive physical therapy protocol and medication for four weeks.

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。