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Updated: Jun 30, 2025

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质子磁共振光谱的噪声抑制改善了儿科大脑瘤分类

Teddy Zhao1,2, James T Grist1, Dorothee P Auer3

  • 1Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.

NMR in biomedicine
|March 17, 2024
PubMed
概括

使用自适应波形噪声抑制 (AWNS) 的噪声抑制显著改善了用于儿童脑瘤诊断的质子磁共振光谱 (1H-MRS) 中的信号噪声比. 这种增强提高了分类的准确性,有助于更好的诊断表现,表膜瘤,脑髓母细胞瘤和皮洛细胞天体细胞瘤.

关键词:
机器学习是机器学习.代谢物度 代谢物度 代谢物度噪音抑制可以抑制噪音.儿科大脑瘤 儿科大脑瘤质子磁共振光谱学 质子磁共振光谱学波形小波形电波,就是一个波形电波.

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