MRI-CORE, a DINOv2-based MRI foundation model initialized from SAM and trained on 6.9 million slices, outperforms SAM, MedSAM, and nnU-Net in few-shot segmentation across most of 13 tasks.
Nature Medicine 30(3):850--862
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MRI-CORE: A Foundation Model for Magnetic Resonance Imaging
MRI-CORE, a DINOv2-based MRI foundation model initialized from SAM and trained on 6.9 million slices, outperforms SAM, MedSAM, and nnU-Net in few-shot segmentation across most of 13 tasks.