Datasets:
metadata
license: cc-by-nc-nd-4.0
task_categories:
- image-classification
tags:
- Medicine
- Computer Vision
- Machine Learning
- Classification
- Data Labeling
- Brain MRI
- DiCOM
size_categories:
- 1M<n<10M
Brain MRI image dataset - 2,000,000+ Studies
Dataset comprises 2,000,000+ medical studies featuring brain MRI scans paired with radiologists' reports, including detailed descriptions, conclusions, and recommendations. This large-scale dataset provides high-quality imaging data with 1 mm slice thickness and ≤5 mm interslice gap, averaging ~30 slices per scan. Designed for detection, classification, and segmentation tasks, it covers 50+ pathologies, including brain tumors, lesions, and structural abnormalities. - Get the data
Dataset characteristics:
| Characteristic | Data |
|---|---|
| Description | MRI of the brain to recognize pathologies |
| Data types | DICOM |
| Annotation | Type of 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 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 |
📊 Sample dataset available! For full access, contact us to discuss purchase terms.
Dataset structure
- ST000001 - folder of the data
- Brain_MRI_conditions - metadata for the data
- Brain_MRI_tumor - example of medical report