Deep joint learning diagnosis of Alzheimer’s disease based on multimodal feature fusion

Deep joint learning diagnosis of Alzheimer’s disease based on multimodal feature fusion

Abstract Alzheimer’s disease (AD) is an advanced and incurable neurodegenerative disease. Genetic variations are intrinsic etiological factors contributing to the abnormal expression of brain function and structure in AD patients. A new multimodal feature fusion called “magnetic resonance imaging (M...

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Bibliographic Details
Main Authors:	Jingru Wang, Shipeng Wen, Wenjie Liu, Xianglian Meng, Zhuqing Jiao
Format:	Article
Language:	English
Published:	BMC 2024-11-01
Series:	BioData Mining
Subjects:	Alzheimer’s disease Multimodal feature fusion Deep joint learning diagnosis Attention mechanism ResNet
Online Access:	https://doi.org/10.1186/s13040-024-00395-9
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