Image Classification of Alzheimer’s Disease Based on External-Attention Mechanism and Fully Convolutional Network

Automatic and accurate classification of Alzheimer’s disease is a challenging and promising task. Fully Convolutional Network (FCN) can classify images at the pixel level. Adding an attention mechanism to the Fully Convolutional Network can effectively improve the classification performance of the m...

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Detalles Bibliográficos
Autores principales: Jiang, Mingfeng, Yan, Bin, Li, Yang, Zhang, Jucheng, Li, Tieqiang, Ke, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8946519/
https://www.ncbi.nlm.nih.gov/pubmed/35326275
http://dx.doi.org/10.3390/brainsci12030319

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8946519/
https://www.ncbi.nlm.nih.gov/pubmed/35326275
http://dx.doi.org/10.3390/brainsci12030319

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