Barely Significant
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SynSAM: a hybrid synchronous learning framework with knowledge retention for prostate zonal segmentation leveraging the segment anything model.

Med Biol Eng Comput · 2026 · PMC13121535 · PMID 41697638

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highly significantp < 0.001actually significant
On the UAB dataset, SynESAM achieved significantly higher average DSC than all baseline models for both TZ ( p < 0.001) and PZ ( p < 0.001), with worst-case DSC improvements also highly significant (TZ and PZ, p < 0.001).

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