A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling

•Propose CaNes-Net, trained with the labels from 7T brain MR images, for 3T MR image segmentation.•Construct correlation coefficient map to measure 3T-to-7T brain MR image alignment.•Design the geodesic distance maps to guide the refinement of coarse segmentation.•Outperforms widely used segmentation methods on both private and ADNI datasets.