CoSAM improves domain generalization in 2D medical image segmentation by using a trained error decoder to correct SAM's prompt-free coarse masks and cyclically refining predictions with point, box, and mask prompts.
Mi-segnet: Mu- tual information-based us segmentation for unseen domain generalization
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CoSAM: Self-Correcting SAM for Domain Generalization in 2D Medical Image Segmentation
CoSAM improves domain generalization in 2D medical image segmentation by using a trained error decoder to correct SAM's prompt-free coarse masks and cyclically refining predictions with point, box, and mask prompts.