SAMatch, which lets a SAM-based model refine pseudo-labels generated by Match-based teachers, improves semi-supervised medical image segmentation Dice scores on ACDC, BUSI, and MRLiver with as few as 1 to 30 labeled cases.
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A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging
SAMatch, which lets a SAM-based model refine pseudo-labels generated by Match-based teachers, improves semi-supervised medical image segmentation Dice scores on ACDC, BUSI, and MRLiver with as few as 1 to 30 labeled cases.