| --- |
| 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. |
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| 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=referral&utm_campaign=brain-ct-segmentation)** |
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| ## Example of data |
| .png?generation=1732665779862401&alt=media) |
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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=referral&utm_campaign=brain-ct-segmentation) to discuss your requirements and pricing options. |
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| ## About data |
| **Pathologies:** |
| - Acute ischemia |
| - Chronic ischemia |
| - 5 classes of intracranial hemorrhagic stroke (intraventricular, intraparenchymal, epidural, subdural, subarachnoid) |
| - Subgaleal hematoma |
| - Fracture |
| - Tumor |
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| By leveraging this dataset, researchers can enhance segmentation performances and improve segmentation accuracy in identifying and classifying different brain tissues and pathologies. |
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| # 🌐 [UniData](https://unidata.pro/datasets/brain-ct/?utm_source=huggingface&utm_medium=referral&utm_campaign=brain-ct-segmentation) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects |