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图形MRI:一个基于图形的融合框架,用于强大的多模态MRI重建.

Shahzad Ahmed1, Feng Jinchao1, Javed Ferzund2

  • 1Beijing Key Laboratory of Computational Intelligence and Intelligent System, Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China.

Magnetic resonance imaging
|November 19, 2024
PubMed
概括

使用图形神经网络 (GNN) 的新框架GraFMRI增强了从低样本数据的多模态MRI重建. 它通过减少噪音和文物来显著提高图像质量,提高诊断准确度.

关键词:
生成性的对抗性网络.图表神经网络的神经网络核磁共振成像 (MRI) 重建的重建医学成像医学成像零射击学习的学习.

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