Edge2Prompt uses edge maps converted by a U-Net into prompts for SAM-2, achieving 86.4% mean Dice on cross-modality liver segmentation.
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Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation
Edge2Prompt uses edge maps converted by a U-Net into prompts for SAM-2, achieving 86.4% mean Dice on cross-modality liver segmentation.