Brain MRI Dataset
Dataset of MRI images of the brain and corresponding text reports from radiologists with descriptions, conclusions and recommendations.
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- medical studies
- 2,000,000+
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- pathologies
- 50+
- 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 |
Industries
Medicine and Healthcare:
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Disease Diagnosis:
Use of MR imaging to detect and classify various brain pathologies such as tumors, strokes, and neurodegenerative diseases.
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Neurosurgery:
Application of MRI to surgical planning and patient assessment before and after surgery.
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Medical text analysis:
Utilizing natural language processing to extract insights from annotation of clinical data and processing medical reports for improved patient care and decision-making
Education:
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Medical training:
Use of fMRI imaging in training courses to educate students and professionals in neurology and radiology.
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Research:
Conducting research on brain diseases using MRI data to develop new methods of diagnosis and treatment.
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