首次诊断多发性硬化症静脉注射甲强龙治疗反应预测风险因素数据集

数据集获取（Figshare）

• 源站标题：Prediction of intravenous methylprednisolone therapeutic response in first diagnosed multiple sclerosis using risk factor categories.zip
• DOI：10.6084/m9.figshare.24851067.v1
• 发布日期：2023-12-18
• 文件数：1 个
• 文件总体积：41.56 KB
• 源站页面：https://figshare.com/articles/dataset/Prediction_of_intravenous_methylprednisolone_therapeutic_response_in_first_diagnosed_multiple_sclerosis_using_risk_factor_categories_zip/24851067

命令行下载

curl -L -o "Prediction of intravenous methylprednisolone therapeutic response in first diagnosed multiple sclerosis using risk factor categories.zip" "https://ndownloader.figshare.com/files/43725006"

文件清单

• Prediction of intravenous methylprednisolone therapeutic response in first diagnosed multiple sclerosis using risk factor categories.zip（41.56 KB）

文件总体积 41.56 KB（源站 API 实测）。

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。

数据说明

Data of “Prediction of intravenous methylprednisolone therapeutic response in first diagnosed multiple sclerosis using risk factor categories”

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.24851067.v1（source: https://figshare.com/articles/dataset/Prediction_of_intravenous_methylprednisolone_therapeutic_response_in_first_diagnosed_multiple_sclerosis_using_risk_factor_categories_zip/24851067）。