Multi-Resolution Brain MRI Images for Tumor Analysis

A curated subset of 60 anonymized brain MRI images in DICOM format, sourced from a public Kaggle dataset. The images are balanced across three distinct pixel resolutions: 256×256, 800×800, and 960×960. This collection supports research in oncology, neuroimaging, and computational medical image analysis.

Use Cases

• Brain tumor detection and classification based on DICOM MRI images
• Resolution-dependent benchmarking of medical imaging pipelines based on the three controlled pixel resolutions
• Compression and encryption algorithm testing for privacy-preserving medical image processing

Strengths

• Contains 60 DICOM images with explicit, balanced distribution across three resolutions (20 images each at 256×256, 800×800, and 960×960 pixels)
• Anonymized for privacy and shared under a permissive CC-BY-4.0 license
• Curated for specific, reproducible experiments in clinical and computational research

Limitations

• Small sample size of 60 images limits statistical power for training complex models
• Column names and detailed metadata (e.g., patient demographics, tumor type) are not provided
• The original source and time range of the parent Kaggle dataset are not specified

Provenance

Source

Curated subset of the publicly available 'Brain MRI Dataset' on Kaggle by 'unidpro'.

Collection Method

Selection and curation to provide balanced coverage across three resolutions.

Time Range

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Freshness

Last updated on 2026-03 18 (figshare).

Geography

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