Chest X-Ray Dataset
The NIH chest X-ray dataset contains labeled chest radiographs with detailed segmentation of pathologies, providing high-quality X-ray images of chest for detecting lung diseases, pulmonary conditions, and other medical imaging tasks, making it a valuable resource for diagnostic imaging, computer vision, and deep learning in healthcare
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- Files
- 443
-
- Medical Studies
- 150
-
- Data tags
- 13
- Medicine
- Computer Vision
- Segmentation
- Classification
- Machine Learning
The NIH chest X-ray dataset contains labeled chest radiographs with detailed segmentation of pathologies, providing high-quality X-ray images of chest for detecting lung diseases, pulmonary conditions, and other medical imaging tasks, making it a valuable resource for diagnostic imaging, computer vision, and deep learning in healthcare
- Medicine
- Computer Vision
- Segmentation
- Classification
- Machine Learning
-
- Files
- 443
-
- Medical Studies
- 150
-
- Data tags
- 13
Dataset Info
| Characteristic | Data |
| Description | Chest X-ray to recognize pathologies |
| Data types | DiCOM |
| Markup | Segmentation of pathologies |
| Tasks | Pathology recognition, computer vision. |
| Total number of files | 443 |
| Number of studies | 150 |
| Labeling | ‘Nodule/mass’, ‘Dissemination’, ‘Annular shadows’, ‘Petrifications’, ‘Pleural effusion’, ‘Pneumothorax’, ‘Rib fractures’, ‘Healed rib fracture’, ‘Atelectasis’, ‘Enlarged mediastinum’, ‘Hilar enlargement’, ‘Infiltration/Consolidation’, ‘Fibrosis’ |
| Gender | Male, female |
| Age | 25 - 70 |
Statistics
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- Distribution by gender
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- Number of studies for each condition
Technical
Characteristics
| Characteristic | Data |
| File extension | DiCOM |
| Markup format | JSON |
Dataset Use Cases
FAQs
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