A modified MedSAM model achieves Dice scores up to 0.8751 for multi-class segmentation of gray and white matter in brain MRI on the IXI dataset.
nnU-Net: A self-configuring method for deep learning-based biomedical image segmentation
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Segmentation of Gray Matters and White Matters from Brain MRI data
A modified MedSAM model achieves Dice scores up to 0.8751 for multi-class segmentation of gray and white matter in brain MRI on the IXI dataset.