Massive FOMO260K dataset released to boost AI in brain MRI analysis

Researchers have introduced FOMO260K, a substantial dataset comprising over 260,000 3D brain MRI scans. This dataset is designed to facilitate the advancement of self-supervised learning techniques within the field of medical imaging. It incorporates a wide array of image types and anatomical variations, aiming to lower the barrier for developing and evaluating new methods. AI

IMPACT Provides a large-scale dataset to accelerate research and development of self-supervised learning models for medical image analysis.

RANK_REASON This is a research paper detailing a new dataset for self-supervised learning in medical imaging. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

• arXiv
• FOMO260K
• Magnetic Resonance Imaging
• medical imaging
• self-supervised learning

• paper
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