id;volume;mask stringclasses 2 values
1;https://drive.google.com/file/d/1mw_VTcxJX2JWuMwhdR4UEKZhQCh3Sgju/view?usp=drive_link;https://drive.google.com/file/d/1ppOrQUPoBbSkB_gVMVKlBW1lvDIKRLi8/view?usp=drive_link
2;https://drive.google.com/file/d/1AYo0lWTvBqNWZPo_zixYQ3NAChAU2fxN/view?usp=drive_link;https://drive.google.com/file/d/1ZG7A9W81pM_vhlJ1e24VFvrwj8BhF0Sq/view?usp=drive_link

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

Example of data

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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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.

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