地西他滨分化疗法治疗骨髓增生异常综合征患者

数据集获取

源站：https://clinicaltrials.gov/study/NCT01165996

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 Myelomonocytic Leukemia, de Novo Myelodysplastic Syndromes, Myelodysplastic Syndromes, Refractory Anemia, Refractory Anemia With Excess Blasts, Refractory Anemia With Ringed Sideroblasts, Refractory Cytopenia With Multilineage Dysplasia, Thrombocytopenia. PRIMARY OBJECTIVES: I. Demonstrate that differentiation therapy with DNMT1 depleting but non-DNA damaging doses of decitabine is efficacious and can be administered weekly for > = 12 months. SECONDARY OBJECTIVES: I. Assess safety of the regimen. II. Retrospectively compare study and standard regimen clinical responses. III. Assess the ability of a pharmacodynamic assay that measures DNMT1 depletion in peripheral blood white blood cells to predict clinical responses to decitabine. IV. Assess PCR for aberrant methylation signature as an early marker of relapse. V. Identify biologic features of MDS that correlate with response to decitabine, thereby facilitating future patient selection. VI. In cases of relapse or resistance, assess the role of the enzyme CDA in altering decitabine metabolism and preventing DNMT1 depletion. OUTLINE: INDUCTION PHASE: Patients receive decitabine subcutaneously (SC) twice weekly for 4 weeks or thrice weekly until achieving bone marrow blasts < 5%. MAINTENANCE PHASE: Patients then receive decitabine SC twice weekly for up to 52 weeks in the absence of disease progression or unacceptable toxicity. After completion of study treatment, patients are followed periodically.

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。