Barely Significant
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Hardware-Agnostic Imitation Learning Method for Autonomous Ultrasound Scanning Addressing Physical Deployment Discrepancies.

Sensors (Basel) · 2026 · PMC13165560 · PMID 42122525

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highly significantno p-value reported
The empirical results demonstrate that, regardless of whether the underlying backbone network employs ACT or Diffusion Policy, the proposed waypoint representation exhibits highly significant statistical superiority in terms of trajectory reproduction precision and stability.

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