Rivogenlecleucel供者淋巴细胞免疫治疗用于干细胞移植后复发性血液肿瘤

数据集获取

源站：https://clinicaltrials.gov/study/NCT03807063

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 Bilineal Leukemia, Myelodysplastic/Myeloproliferative Neoplasm, Myelodysplastic/Myeloproliferative Neoplasm, Unclassifiable, Myeloproliferative Neoplasm, Recurrent Acute Biphenotypic Leukemia, Recurrent Acute Lymphoblastic Leukemia, Recurrent Acute Myeloid Leukemia, Recurrent Blastic Plasmacytoid Dendritic Cell Neoplasm. This is a dose-escalation study of rivogenlecleucel. Each subject may receive up to 3 doses of rivogenlecleucel intravenously (IV), at intervals of no less than 28 days. Subjects meeting protocol-specified severity criteria for acute GVHD, chronic GVHD, cytokine release syndrome (CRS), prolonged aplasia, or encephalopathy will be treated with rimiducid infusion(s). After completion of study treatment, patients are followed up every 6 months for 5 years and then annually for 10 years.

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。