An intensity-based self-supervised domain adaptation method for intervertebral disc segmentation in magnetic resonance imaging.

This study demonstrates the potential of intensity-based self-supervised domain adaptation for IVD segmentation. It suggests new directions for research in enhancing generalizability across datasets with domain shifts, which can be applied to other medical imaging fields.