Predicting diagnosis 4 years prior to Alzheimer’s disease incident

This study employed a deep learning longitudinal model, graph convolutional and recurrent neural network (graph-CNN-RNN), on a series of brain structural MRI scans for AD prognosis. It characterized whole-brain morphology via incorporating longitudinal cortical and subcortical morphology and defined...

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Detalles Bibliográficos
Autores principales: Qiu, Anqi, Xu, Liyuan, Liu, Chaoqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8958535/
https://www.ncbi.nlm.nih.gov/pubmed/35344803
http://dx.doi.org/10.1016/j.nicl.2022.102993

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8958535/
https://www.ncbi.nlm.nih.gov/pubmed/35344803
http://dx.doi.org/10.1016/j.nicl.2022.102993

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