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Updated: Feb 5, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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开发和独立验证可解释的基于放射学的机器学习模型,用于结直肠肝转移的预后

A Brunetti1, G M Zaccaria1, E Sibilano1

  • 1Department of Electrical and Information Engineering, Polytechnic University of Bari, Bari, Italy.

Frontiers in digital health
|February 4, 2026
PubMed
概括

这项研究开发了可解释的机器学习模型,使用结直肠癌肝转移 (CRLM) 和周围肝脏组织的放射学. 这些模型准确地预测了复发和整体存活率,为患者提供了更好的风险分层.

关键词:
关于CRLM的研究结果可以解释的机器学习功能可解释性 功能可解释性预后 预后 预后无线电学 (radiomics) 是一种无线电学.

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