A SAM variant that samples a latent code into the prompt embedding produces diverse lung nodule masks and reports better GED, DSC, and IoU than Probabilistic U-Net on LIDC-IDRI.
Segment anything in medical images,
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A Probabilistic Segment Anything Model for Ambiguity-Aware Medical Image Segmentation
A SAM variant that samples a latent code into the prompt embedding produces diverse lung nodule masks and reports better GED, DSC, and IoU than Probabilistic U-Net on LIDC-IDRI.