ud-medical/Brain-MRI-Dataset

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

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Dataset structure

• ST000001 - folder of the data
• Brain_MRI_conditions - metadata for the data
• Brain_MRI_tumor - example of medical report

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1. Spine MRI Dataset
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