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Efficient Training on Alzheimer’s Disease Diagnosis with Learnable Weighted Pooling for 3D PET Brain Image Classification

Three-dimensional convolutional neural networks (3D CNNs) have been widely applied to analyze Alzheimer’s disease (AD) brain images for a better understanding of the disease progress or predicting the conversion from cognitively impaired (CU) or mild cognitive impairment status. It is well-known tha...

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Detalles Bibliográficos
Autores principales:	Xing, Xin, Rafique, Muhammad Usman, Liang, Gongbo, Blanton, Hunter, Zhang, Yu, Wang, Chris, Jacobs, Nathan, Lin, Ai-Ling
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910214/ https://www.ncbi.nlm.nih.gov/pubmed/36778519 http://dx.doi.org/10.3390/electronics12020467

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