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--- |
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license: cc-by-nc-nd-4.0 |
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size_categories: |
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- n<1K |
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task_categories: |
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- image-segmentation |
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tags: |
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- nii |
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- medicine |
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- healthcare |
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- medical imaging |
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- ct scans |
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- health |
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- brain |
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- computer vision |
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--- |
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# Brain CT Segmentation for medical diagnostics |
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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=cpc&utm_campaign=brain-ct-segmentation)** |
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## Example of data |
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![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2Fee1c47ab109dafcd75a65eade894bee8%2FFrame%20170%20(3).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. |
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# 💵 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. |
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## About data |
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**Pathologies:** |
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- Acute ischemia |
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- Chronic ischemia |
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- 5 classes of intracranial hemorrhagic stroke (intraventricular, intraparenchymal, epidural, subdural, subarachnoid) |
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- Subgaleal hematoma |
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- Fracture |
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- 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=cpc&utm_campaign=brain-ct-segmentation) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects |