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Updated: Jul 21, 2025

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使用单伏塞尔磁共振光谱学数据在1.5T获得,以分类多伏塞尔数据在3T:一个概念验证研究

Gülnur Ungan1,2, Albert Pons-Escoda3, Daniel Ulinic2

  • 1Centro de Investigación Biomédica en Red (CIBER), 28029 Madrid, Spain.

Cancers
|July 29, 2023
PubMed
概括

这项研究表明,在单声素 (SV) 数据上训练的磁共振光谱 (MRS) 模型可以对多声素 (MV) 网格进行分类,从而实现大脑瘤分类的高精度. 文物被确定为影响分类性能的一个关键因素.

关键词:
大脑瘤 大脑瘤决策支持系统 决策支持系统质母细胞瘤是什么磁共振光谱学 磁共振光谱学代谢模式的代谢模式鼻科成像 鼻科成像

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