Update README.md

README.md

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-license: cc-by-nc-nd-4.0
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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
+![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2Fee1c47ab109dafcd75a65eade894bee8%2FFrame%20170%20(3).png?generation=1732665779862401&alt=media)
+
+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