三氧化二砷治疗骨髓增生异常综合征患者

数据集获取

源站：https://clinicaltrials.gov/study/NCT00020969

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: Leukemia, Myelodysplastic Syndromes, Myelodysplastic/Myeloproliferative Neoplasms. OBJECTIVES: * Determine the percentage of patients with low-risk myelodysplastic syndromes (MDS) who achieve a major hematologic improvement after treatment with arsenic trioxide. * Determine the percentage of patients with high-risk MDS who achieve complete or partial remission or major hematological improvement after treatment with this drug. * Determine the durability of responses in patients treated with this drug. * Determine the duration of overall and progression-free survival of patients treated with this drug. * Assess the quality of life of patients treated with this drug. * Assess the toxicity profile of this drug in these patients. OUTLINE: This is a multicenter study. Patients are stratified according to risk score (low risk vs high risk). Patients receive arsenic trioxide IV 5 days a week on weeks 1-2. Treatment repeats every 4 weeks for up to 6 courses in the absence of disease progression or unacceptable toxicity. Patients with stable disease or better may receive additional courses of treatment. Patients who achieve a complete remission (CR) should receive 2 additional courses of treatment after documentation of CR. Quality of life is assessed at baseline, every 8 weeks during study, and then at 4 weeks after study completion. Patients are followed at 4 weeks, every 3 months until completion of study treatment, and then annually thereafter. PROJECTED ACCRUAL: A total of 30-110 patients (15-55 per stratum) will be accrued for this 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。