伊马替尼（Gleevec(Registered Trademark)）治疗慢性粒单核细胞白血病与非典型慢性髓系白血病

数据集获取

源站：https://clinicaltrials.gov/study/NCT00079313

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, Chronic Myelogenous Leukemia. The purpose of this study is to evaluate the safety and effectiveness of imatinib for improving blood counts in patients with chronic myelomonocytic leukemia (CMML) and atypical chronic myelogenous leukemia (CML). Although a number of agents have been used to treat these diseases, most patients do not respond to treatment. Imatinib has been shown in clinical trials to induce high rates of responses in patients with chronic phase CML. Imatinib has also been shown to be effective in inducing responses in a subset of patients with CMML and atypical CML and is also effective in a subset of patients with idiopathic hypereosinophilic syndrome (HES), another myeloproliferative disorder. Because patients with several different myeloproliferative diseases have been shown to experience dramatic responses to imatinib, we would like to determine what proportion of patients with atypical myeloproliferative diseases (CMML and atypical CML) will respond to this agent. Prior to enrollment, a thorough clinical evaluation will be performed. A baseline bone marrow will be obtained to exclude acute leukemia or lymphoma and to assess the degree and nature of the myeloproliferation. In order to minimize bone marrow suppression, other myelosuppressive drugs will be tapered and discontinued during the first week of therapy with imatinib. Complete blood counts will be performed weekly for the first month and every other week thereafter. Clinical assessments will be performed every three months to assess for continued response.

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。