An Attention-Based CoT-ResNet With Channel Shuffle Mechanism for Classification of Alzheimer’s Disease Levels

Detection of early morphological changes in the brain and early diagnosis are important for Alzheimer’s disease (AD), and high-resolution magnetic resonance imaging (MRI) can be used to help diagnose and predict the disease. In this paper, we proposed two improved ResNet algorithms that introduced t...

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Detalles Bibliográficos
Autores principales: Li, Chao, Wang, Quan, Liu, Xuebin, Hu, Bingliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309569/
https://www.ncbi.nlm.nih.gov/pubmed/35898323
http://dx.doi.org/10.3389/fnagi.2022.930584

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309569/
https://www.ncbi.nlm.nih.gov/pubmed/35898323
http://dx.doi.org/10.3389/fnagi.2022.930584

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