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...

Descripción completa

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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910214/
https://www.ncbi.nlm.nih.gov/pubmed/36778519
http://dx.doi.org/10.3390/electronics12020467

Ejemplares similares