Tipifarnib治疗慢性髓性白血病、慢性粒单核细胞白血病或未分化骨髓增殖性疾病患者

数据集获取

源站：https://clinicaltrials.gov/study/NCT02210858

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: Accelerated Phase of Disease, Atypical Chronic Myeloid Leukemia, BCR-ABL1 Negative, Chronic Myelogenous Leukemia, BCR-ABL1 Positive, Chronic Myelomonocytic Leukemia, Chronic Phase of Disease, Myelodysplastic/Myeloproliferative Neoplasm, Unclassifiable, Recurrent Disease. PRIMARY OBJECTIVES: * To describe the toxicities of R115777 (tipifarnib) in adult patients with myeloproliferative disorders. * To assess hematologic responses, including changes in white blood cell count and erythroid responses. SECONDARY OBJECTIVES: * To assess bone marrow cytogenetic responses to R115777. * To analyze for the presence of neuroblastoma (N)/Kirsten rat sarcoma viral oncogene homolog (K-Ras) mutations in patient bone marrow samples. * To analyze the effect of R115777 on Ras /DnaJ (Hsp40) homolog, subfamily A, member 1(HDJ-2) farnesylation in patient bone marrow/peripheral blood mononuclear cells. * To analyze the effect of R115777 on mitogen-activated protein (MAP) kinase activation in patient bone marrow mononuclear cells. * To perform colony forming unit granulocyte-macrophage (CFU-GM) cytotoxicity assays using patients’ hematopoietic cells with R115777. OUTLINE: Patients receive tipifarnib orally (PO) twice daily (BID) on days 1-21. Treatment repeats every 28 days for up to 4 courses in the absence of disease progression or unacceptable toxicity. Patients achieving a good hematologic response may continue treatment at the discretion of the treating physician.

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。