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Updated: May 5, 2026

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图形神经网络和多模式DTI特征用于精神分裂症分类:从大脑网络分析和基因表达的见解

Jingjing Gao1, Heping Tang1, Zhengning Wang1

  • 1School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China.

Neuroscience bulletin
|March 18, 2025
PubMed
概括

这项研究使用图形神经网络和扩散张力成像来识别精神分裂症患者,准确率为73.79%. 整合脑部成像和遗传数据为精神分裂症提供了新的见解.

关键词:
分类 分类 分类 分类.深度学习是一种深度学习.图表神经网络的神经网络磁共振成像技术 磁共振成像技术精神分裂症是一种精神分裂症.

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