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Updated: Jun 12, 2025

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不完整的自由诱导衰变的循环神经网络辅助处理在大脑的H-MRS中发生衰变

Eunho Jeong1, Joon Jang2, Ji-Hoon Kim3

  • 1Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, South Korea.

Journal of magnetic resonance (San Diego, Calif. : 1997)
|September 19, 2024
PubMed
概括

循环神经网络 (RNN) 可以从不完整的质子磁共振光谱 (1H-MRS) 数据来量化主要的大脑代谢物. 这些先进的神经网络 (NN) 显示出对代谢物量化的承诺,即使数据点显著减少.

关键词:
深度学习是一种深度学习.自由的感应衰变人类大脑 人类大脑质子磁共振光谱学 质子磁共振光谱学经常性的神经网络.

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