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
+task_categories:
+- image-segmentation
+tags:
+- dicom
+- medicine
+- healthcare
+- medical imaging
+- ct scans
+- health
+- cancer
+- computer vision
+size_categories:
+- 1K<n<10K
+---
+# Chest ST Segmentation of a pathology and anatomical regions
+Dataset comprises **1,000+ studies**, featuring **7** pathologies and covering **8** anatomical regions. It includes a variety of **CT scans** that facilitate research in **lung segmentation** and **disease detection**. Researchers can leverage this dataset for clinical practice, studying imaging data for better early detection methods and computer-aided screening.
+
+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/chest-ct/?utm_source=huggingface&utm_medium=cpc&utm_campaign=chest-ct-segmentation)**
+
+## Example of data
+![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2F6edb5c13d2dfea3b64a305f889ccec07%2FFrame%20170%20(2).png?generation=1732242366229473&alt=media)
+
+Researchers can leverage this dataset to explore automated segmentation techniques, utilizing deep learning and machine learning models for improved image analysis.The dataset is ideal for medical research, disease detection, and classification tasks, particularly for developing computer-aided diagnosis and machine learning models
+# 💵 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/chest-ct/?utm_source=huggingface&utm_medium=cpc&utm_campaign=chest-ct-segmentation) to discuss your requirements and pricing options.
+
+## About data
+![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2F2954f658cf5d63becab24b81739d686d%2FFrame%20169%20(1).png?generation=1732241020560152&alt=media)
+By utilizing this dataset, researchers can contribute to the development of more accurate and efficient diagnosis systems, ultimately improving patient outcomes in clinical practice.
+
+# 🌐 [UniData](https://unidata.pro/datasets/chest-ct/?utm_source=huggingface&utm_medium=cpc&utm_campaign=chest-ct-segmentation) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects