README.md

---
license: mit
task_categories:
- image-classification
- feature-extraction
tags:
- biology
- medical
pretty_name: AAL Statistics Volumn
size_categories:
- n<1K
language:
- en
---

# Dataset Card for "MuGeminorum/AAL-statistics-volumn"
The AAL (Automated Anatomical Labeling) Statistics Volumetric dataset provides a comprehensive collection of brain volumetric measurements based on the AAL atlas. It encompasses statistical information on brain regions derived from structural magnetic resonance imaging (MRI) scans. Researchers commonly utilize this dataset for investigations related to neuroimaging, neuroscience, and brain structure analysis. The AAL Statistics Volumetric dataset plays a pivotal role in advancing our understanding of brain anatomy, enabling the development and evaluation of algorithms for automated brain region identification and volumetric analysis. With its wealth of volumetric data derived from diverse individuals, this dataset serves as a valuable resource for studies aimed at characterizing variations in brain structures across populations and contributing to advancements in neuroscientific research.

## Usage
```python
from datasets import load_dataset

data = load_dataset("MuGeminorum/AAL-statistics-volumn", split='train')

for item in data:
    print(item)
```

## Maintenance
```bash
git clone git@hf.co:datasets/MuGeminorum/AAL-statistics-volumn
```

## Mirror
<https://www.modelscope.cn/datasets/MuGeminorum/AAL_statistics_volumn>

## Reference
[1] [Chapter II ‐ Classifying AD patients and normal controls from brain images](https://github.com/MuGeminorum/Medical_Image_Computing/wiki/Chapter-II-%E2%80%90-Classifying-AD-patients-and-normal-controls-from-brain-images)