Chest CT Segmentation Dataset
CT scans includes over 1,000 studies that highlight various pathologies such as cancer, emphysema, hydrothorax, and etc
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- medical studies
- 1,000+
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- pathologies
- 7
-
- anatomical region
- 8
- Medicine
- Segmentation
- Computer Vision
- Classification
- Machine Learning
-
- medical studies
- 1,000+
-
- pathologies
- 7
-
- anatomical region
- 8
Dataset Info
| Characteristic | Data |
| Description | CT scans of the chest to recognize pathologies |
| Data types | Nii |
| Tasks | Recognition, classification and segmentation of pathologies, computer vision |
| Number of studies | 1,000+ |
| Number of pathologies | 7 |
| Number of anatomical region | 8 |
| Pathologies | Cancer, aeration disorder, hydrothorax, emphysema, paracardiac fat, coronary calcium.Anatomical regions: ribs, lungs, aorta, pulmonary trunk, heart, sternum, costal cartilages, spine. |
| Labeling | Segmentation of a pathology and anatomical regions |
Pathologies
- cancer
- aeration disorder
- hydrothorax
- emphysema
- paracardiac fat
- coronary calcium
Anatomical regions
- ribs
- lungs
- aorta
- pulmonary trunk
- heart
- sternum
- costal cartilages
- spine
Technical
Characteristics
| Characteristic | Data |
| File Extension | Nii |
Industries
Medicine and Healthcare:
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Disease Diagnosis:
Computer vision and classification for automatic detection and classification of various chest 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 chest diseases using CT data to develop new methods of diagnosis and treatment.
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