Brain MRI Dataset
Brain MRI Dataset contains MRI scans of human brains with radiologists’ reports (descriptions, conclusions, and recommendations), offering detailed structural imaging with ~30 slices per scan at 1 mm slice thickness and ≤5 mm interslice gap, supporting tumor detection, segmentation, and advanced medical research
-
- Medical Studies
- 2,000,000+
-
- Pathologies
- 50+
- Medicine
- Computer Vision
- Machine Learning
- Classification
- Data Labeling
Brain MRI Dataset contains MRI scans of human brains with radiologists’ reports (descriptions, conclusions, and recommendations), offering detailed structural imaging with ~30 slices per scan at 1 mm slice thickness and ≤5 mm interslice gap, supporting tumor detection, segmentation, and advanced medical research
- Medicine
- Computer Vision
- Machine Learning
- Classification
- Data Labeling
-
- Medical Studies
- 2,000,000+
-
- Pathologies
- 50+
Dataset Info
| Characteristic | Data |
| Description | MRI of the brain to recognize pathologies |
| Data types | DiCOM |
| Annotation | Type of a study, MRI machine (mostly Philips Intera 1.5T), Patient's demographic information (age, sex, race), Brief anamnesis of the disease (complaints), Description of the case, Preliminary diagnosis, Recommendations on the further actions |
| Tasks | Recognition, classification and segmentation of pathologies, computer vision |
| Total number of files | 2,000,000+ |
| Number of studies | 50+ |
| Labeling | Technical characteristics and metadata (body part, number of studies), markup, medical reports |
Technical
Characteristics
| Characteristic | Data |
| File Extension | DiCOM |
| Markup format |
Dataset Use Cases
FAQs
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