阿扎胞苷联合三氧化二砷治疗骨髓增生异常综合征或慢性粒单核细胞白血病

数据集获取

源站：https://clinicaltrials.gov/study/NCT00118196

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. OBJECTIVES: Primary * Determine the response rate in patients with myelodysplastic syndromes or chronic myelomonocytic leukemia treated with azacitidine and arsenic trioxide. Secondary * Determine time to treatment failure in patients treated with this regimen. * Determine the tolerability and toxicity of this regimen in these patients. * Determine progression-free survival of patients treated with this regimen. OUTLINE: This a multicenter, non-randomized, open-label, study. Patients receive azacitidine subcutaneously once daily on days 1-5 and arsenic trioxide IV over 1-2 hours on days 1, 2, 8, 9, 15, 16, 22, and 23. Treatment repeats every 28 days for 4 courses in the absence of disease progression or unacceptable toxicity. Patients are evaluated for response on day 113 (week 17). Patients with disease progression or no response are removed from the study. Patients achieving a complete response (CR) receive 2 additional courses of therapy and then undergo observation. Patients achieving a partial response receive 2 additional courses of therapy and then receive arsenic trioxide alone twice weekly in the absence of CR, disease progression, or unacceptable toxicity. After completion of study treatment, patients are followed every 2 months for at least 1 year. PROJECTED ACCRUAL: A total of 19-41 patients will be accrued for this study within 18 months.

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。