异基因造血干细胞移植后晚期MDS或AML患者接种GM-K562细胞疫苗

数据集获取

源站：https://clinicaltrials.gov/study/NCT00809250

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: Acute Myeloid Leukemia, Chronic Myelomonocytic Leukemia, Myelodysplastic Syndrome-Refractory Anemia With Excess Blasts. * Participants will be given the GM-K562/Leukemia call vaccine as in injection under the skin a total of six times. The first 3 vaccines will be given weekly and vaccines 4 through 6 will be given every other week. Therefore, it is expected that the vaccines will be completed over a period of 9 weeks. * During the 9 week vaccination period, participants will have physical exams to monitor for any side effects or graft-versus-host disease (GVHD). Bone marrow biopsies will be performed a the time of enrollment for this study, 4 weeks after completion of 6 GM-K562/Leukemia cell vaccines, and 1 year after the participants transplant. * As a way of testing whether the GM-K562/Leukemia cell vaccine is triggering any immune response to the participants leukemia, we will be injecting a small amount of leukemia cells (after they are killed with radiation) under the participants skin to see if the body will generate a reaction to the leukemia cells. This test is called a leukemia cell delayed hypersensitivity test (DTH). This test will be performed three times during the study, on the weeks of the 1st vaccine, 5th vaccine and 4 weeks after the 6th vaccine. * There are a total of 5 skin biopsies required as part of this study. Biopsies will be taken from the vaccination sites 2-3 days after the first and fifth vaccine. Similar biopsies will be taken from the DTH sites after the 1st vaccination, 5th vaccination and 4-6 weeks after the 6th vaccination.

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。