牙科与医学专属治疗慢性牙源性上颌窦炎疗效的前瞻性研究

数据集获取

源站：https://clinicaltrials.gov/study/NCT04085536

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. Chronic maxillary sinusitis is an inflammatory condition and/or infectious diseases of the maxillary sinus, which last longer than 12 weeks. Those whose the origin is dental, are well described, and yet under-diagnosed most of the time due to a lack of well-defined diagnostic criteria and literature. There is controversy in the various studies about their prevalence. Their management and in particular the therapeutic sequence, is not the subject of any recommendation and involves only a few clinical studies. Their consequences on the patient’s general health and quality of life are important. The lack of knowledge about them often leads to diagnostic errors and therefore to a persistence of symptomatology. Moreover, their complications when they are not or incorrectly treated, although rare, can be dramatic (occulo-orbital or endo-cranial complications for example). Preliminary work in the form of a retrospective study was carried out within of the Centre Hospitalier intercommunal de Créteil in 2015. In view of the results the investigators wanted to set up a clinical trial with the following objectives measure the prevalence of chronic maxillary sinusitis of dental origin and measure the effectiveness of exclusive dental and medical treatment, which could avoid surgical intervention under general anaesthesia, at the higher morbidity.

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。