基本信息

模态

医学影像

大小

2.24 GB

创建/更新时间

2024-04-12

版本

master

资源简介

NTUA帕金森数据集

【数据集背景】

本数据集源站标题为《ails-lab/ntua-parkinson-dataset》。源站首次发布：2020-04-28。

【数据内容】

源站原始描述：The NTUA Parkinson''s Dataset # The NTUA Parkinson Dataset This dataset currently consists of MRI examinations and DaT Scans from a total of 78 individuals, 55 of which are suffering from Parkinson''s Disease, while 23 serve as normal control subjects. ## Imaging data The images are split into two folders based on their diagnosis (PD for patients suffering from Parkinson''s Disease and NPD for control subjects). A total of over 42000 images are available for academic use. Image type | PD | NPD | To…

【主题与分类】

主题标签：dataset、deep-learning、machine-learning、medical-imaging、mri。

【适用方向】

影像类数据可用于医学图像分析模型（检测、分割、分类）的训练与评测，也可用于标注质量与成像参数相关性的研究。

【获取与许可】

源站页面：https://github.com/ails-lab/ntua-parkinson-dataset

【使用注意】

· 源站最后修改于 2024-07-18，引用时请注意版本时效。

原始链接

https://github.com/ails-lab/ntua-parkinson-dataset

访问原始数据

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付，我们提供全链路闭环服务，让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持？联系我们获取定制方案。

帮我联系

下载信息

注册下载

需要注册 Kaggle 账号并登录后下载，适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档，适合快速预览和评估数据集质量。

免登录

有偿下载

公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务（收技术服务费，非数据销售）

暂未开放

当前数据集主要来源为 Kaggle 公开托管，完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取

git clone https://github.com/ails-lab/ntua-parkinson-dataset.git

curl -L -o repo.zip https://github.com/ails-lab/ntua-parkinson-dataset/archive/refs/heads/master.zip
unzip repo.zip

源站 README 摘录（使用方式）

The NTUA Parkinson Dataset

Name: NTUA帕金森数据集
Creator: ails-lab

This dataset currently consists of MRI examinations and DaT Scans from a total of 78 individuals, 55 of which are suffering from Parkinson’'s Disease, while 23 serve as normal control subjects.

Imaging data

The images are split into two folders based on their diagnosis (PD for patients suffering from Parkinson’'s Disease and NPD for control subjects).
A total of over 42000 images are available for academic use.
Image type | PD | NPD | Total

| - | - | -
DaT scan | 590 | 330 | 920
MRI | 32706 | 10381 | 43087

Descriptive data

Besides the medical images, some other information is also available about several of the subjects. Namely demographics (date of birth, sex), clinical information (disease duration, date of first diagnosis), medication and test scores. These can be found in CSV format inside the PD/NPD folders. The first column ‘‘alias’’ refers to the subject id from the folder name.
Note that not all information is available for all of the subjects!

Citing the work

If you plan to use this dataset in your research, please cite:
<pre>
@article{tagaris2018machine,
title={Machine Learning for Neurodegenerative Disorder Diagnosis—Survey of Practices and Launch of Benchmark Dataset},
author={Tagaris, Athanasios and Kollias, Dimitrios and Stafylopatis, Andreas and Tagaris, Georgios and Kollias, Stefanos},
journal={International Journal on Artificial Intelligence Tools},
volume={27},
number={03},
pages={1850011},
year={2018},
publisher={World Scientific}
}

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