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DE-JANet:一个基于双编码器和共同关注的统一网络,用于使用多模式数据对阿尔茨海默病的分类

Yulan Dai1, Beiji Zou1, Chengzhang Zhu1

  • 1School of Computer Science and Engineering, Central South University, Changsha, China; Hunan Engineering Research Center of Machine Vision and Intelligent Medicine, Changsha, China.

Computers in biology and medicine
|September 13, 2023
PubMed
概括

本研究介绍了DE-JANet,这是一个用于阿尔茨海默病 (AD) 和轻度认知障碍 (MCI) 分类的新型网络. 通过将结构磁共振成像 (sMRI) 与临床数据相结合,它实现了卓越的诊断准确性.

关键词:
阿尔茨海默氏症是阿尔茨海默氏症的一种疾病.卷积神经网络是一种卷积神经网络.共同关注 共同关注 共同关注多模式数据多模式数据

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