BNLoop-GAN: a multi-loop generative adversarial model on brain network learning to classify Alzheimer’s disease

Recent advancements in AI, big data analytics, and magnetic resonance imaging (MRI) have revolutionized the study of brain diseases such as Alzheimer’s Disease (AD). However, most AI models used for neuroimaging classification tasks have limitations in their learning strategies, that is batch traini...

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Detalles Bibliográficos
Autores principales: Cao, Yu, Kuai, Hongzhi, Liang, Peipeng, Pan, Jeng-Shyang, Yan, Jianzhuo, Zhong, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326383/
https://www.ncbi.nlm.nih.gov/pubmed/37424996
http://dx.doi.org/10.3389/fnins.2023.1202382

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326383/
https://www.ncbi.nlm.nih.gov/pubmed/37424996
http://dx.doi.org/10.3389/fnins.2023.1202382

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