With only 1 to 7 labeled atlases, both multi-atlas and supervised deep learning segmentation approaches can reach near-upper-bound Dice scores on brain MRI, and a proposed semi-supervised registration variant improves boundary accuracy.
Deep learning for brain mri segmentation: State of the art and future directions
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Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation
With only 1 to 7 labeled atlases, both multi-atlas and supervised deep learning segmentation approaches can reach near-upper-bound Dice scores on brain MRI, and a proposed semi-supervised registration variant improves boundary accuracy.