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使用fMRI数据对阿尔茨海默氏症进展的分类

Ju-Hyeon Noh1, Jun-Hyeok Kim1, Hee-Deok Yang1

  • 1Department of Computer Engineering, University of Chosun, Gwangju 61452, Republic of Korea.

Sensors (Basel, Switzerland)
|July 29, 2023
PubMed
概括

这项研究引入了一种使用4D功能磁共振成像 (fMRI) 来准确诊断阿尔茨海默病进展的深度学习模型. 新的3D-CNN-LSTM方法达到96.4%的准确性,为早期检测提供了一个有前途的工具.

关键词:
3D U-Net 是一个 3D U-Net.阿尔茨海默氏症是阿尔茨海默氏症的一种疾病.深度学习是一种深度学习.

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