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---
license: cc-by-nc-nd-4.0
size_categories:
- n<1K
task_categories:
- image-segmentation
tags:
- nii
- medicine
- healthcare
- medical imaging
- ct scans
- health
- brain
- computer vision
---
# Brain CT Segmentation for medical diagnostics
The dataset contains over **1,000** studies encompassing **10** pathologies, providing a comprehensive resource for advancing research in **brain imaging techniques**. It comprises a wide variety of **CT scans** aimed at **facilitating segmentation** tasks related to **brain tumors, lesions**, and other brain structures.
The data is provided in **nii** format and includes both **volumetric data** and the corresponding **masks** for each study, facilitating comprehensive analysis and segmentation tasks. - **[Get the data](https://unidata.pro/datasets/brain-ct/?utm_source=huggingface&utm_medium=cpc&utm_campaign=brain-ct-segmentation)**
## Example of data
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Researchers can leverage this dataset for clinical practice, studying imaging data for better early detection methods and computer-aided screening. The CT head images are particularly relevant for studies focusing on brain hemorrhages and other intracranial conditions, ensuring that the dataset addresses a broad range of clinical needs.
# 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/brain-ct/?utm_source=huggingface&utm_medium=cpc&utm_campaign=brain-ct-segmentation) to discuss your requirements and pricing options.
## About data
**Pathologies:**
- Acute ischemia
- Chronic ischemia
- 5 classes of intracranial hemorrhagic stroke (intraventricular, intraparenchymal, epidural, subdural, subarachnoid)
- Subgaleal hematoma
- Fracture
- Tumor
By leveraging this dataset, researchers can enhance segmentation performances and improve segmentation accuracy in identifying and classifying different brain tissues and pathologies.
# 🌐 [UniData](https://unidata.pro/datasets/brain-ct/?utm_source=huggingface&utm_medium=cpc&utm_campaign=brain-ct-segmentation) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects |