Brain CT Segmentation Dataset
The dataset of CT scans of the brain includes over 1,000 studies that highlight various pathologies such as acute ischemia, chronic ischemia, tumor, and etc.
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-
- medical studies
- 1,000+
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- pathologies
- 10
- Medicine
- Segmentation
- Computer Vision
- Classification
- Machine Learning
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- medical studies
- 1,000+
-
- pathologies
- 10
Dataset Info
Characteristic | Data |
Description | CT scans of the brain to recognize pathologies |
Data types | Nii |
Tasks | Recognition, classification and segmentation of pathologies, computer vision |
Number of studies | 1,000+ |
Number of pathologies | 10 |
Pathologies | Acute ischemia, chronic ischemia, 5 classes of intracranial hemorrhagic stroke (intraventricular, intraparenchymal, epidural, subdural, subarachnoid), subgaleal hematoma, fracture, tumor. |
Labeling | Segmentation |
Technical
Characteristics
Characteristic | Data |
File Extension | Nii |
Industries
Medicine and Healthcare:
-
Disease Diagnosis:
Computer vision and classification for automatic detection and classification of various brain pathologies
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Neurosurgery:
Application of CT to surgical planning and patient assessment before and after surgery.
Education:
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Medical training:
Segmentation for the education and training of medical university students, interns, and residents
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Research:
Conducting research on brain diseases using CT data to develop new methods of diagnosis and treatment.
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