id;volumes;masks stringclasses 2 values
1;https://drive.google.com/file/d/1F4RLIIpuNEGfCu6lvQEhDKjgPpL6BdIV/view?usp=drive_link;https://drive.google.com/file/d/1A4p_ZmBr3XzudXDxOmUOxmV3ZbQBF-54/view?usp=drive_link
2;https://drive.google.com/file/d/17_1AjLTDNk4gvLi_XDRrZxkOl5PGggzF/view?usp=drive_link;https://drive.google.com/file/d/1jzWy1chHPn2ToxLrSlNju50-NOx_w3xa/view?usp=drive_link

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

Example of data

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

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About data

By utilizing this dataset, researchers can contribute to the development of more accurate and efficient diagnosis systems, ultimately improving patient outcomes in clinical practice.

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