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Updated: May 7, 2026

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基于VASARI特征的预测机器学习模型用于WHO分级,异酸脱酶突变和1p19q共同删除状态:一个多中心研究

Wei Zhao1, Chao Xie2, Kukun Hanjiaerbieke1

  • 1Imaging Centre, The First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, Xinjiang, China.

American journal of cancer research
|September 13, 2024
PubMed
概括

使用可视化可访问的伦勃朗特图像 (VASARI) 的MRI特征的机器学习模型可以预测高档质瘤分子标记物. 伯努利天真贝叶斯模型在预测IDH突变和1p19q共删除状态方面表现强.

关键词:
1p19q 的共删除.机器学习 机器学习质瘤 质瘤 是一种异酸盐脱基酶突变异型可视化访问的伦勃朗特图像

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