Bisantrene联合Cytarabine或Decitabine治疗成人髓外AML和MDS的研究

数据集获取

源站：https://clinicaltrials.gov/study/NCT05456269

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, Recurrent Acute Myeloid Leukemia, Refractory Acute Myeloid Leukemia, Higher Risk Myelodysplastic Syndrome, Chronic Myelomonocytic Leukemia. The study is a multicenter, open label in patients with haematological malignancy / myeloproliferative disease (AML, MDS and CMML) and extramedullary disease (EMD) investigating 2 treatment regimens: 1. Stratum 1 will investigate use of high dose intravenous (IV) bisantrene (RC110) in combination with IV Ara-C for R/R AML with EMD able to tolerate intensive chemotherapy. This includes a run-in stage to confirm the dose of bisantrene (RC110) for induction and in combination with Ara-C for consolidation cycles and an expansion and an expansion stage that will treat additional patients at the confirmed bisantrene dose for induction and in combination with Ara-C consolidation cycles; 2. Stratum 2 will investigate use lower doses intravenous (IV) bisantrene (RC-110) in combination with fixed-dose oral decitabine/cedazuridine (ASTX727) to determine the maximum tolerated dose (MTD) for new or R/R AML and HR-MDS/CMML unable to tolerate intensive chemotherapy. Pre-screening will be conducted to identify patients with EMD diagnosed by standard clinical practice including histology and by fluorine-18-fluorodeoxyglucose positron emission tomography/computed tomography (18F FDG-PET/CT) imaging.

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。