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Updated: Feb 2, 2026

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机器学习模型用于快速预测和不确定性量化前列腺活检期间针曲的偏移

Nathan Hoffman1, Lidia Al-Zogbi2, Axel Krieger2

  • 1Department of Mechanical Engineering, University of Maryland, College Park, Maryland, USA.

Medical physics
|January 31, 2026
PubMed
概括

这项研究开发了一种快速,准确的针曲模型,用于跨关前列腺活检. 该模型与不确定性量化集成,使得更好的操作内规划和减少定位错误.

关键词:
机器学习 机器学习基于机械学的模型针曲的偏移 针曲的偏移前列腺活检 前列腺活检不确定性定量化 不确定性定量化

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