Classification of Subcortical Vascular Cognitive Impairment Using Single MRI Sequence and Deep Learning Convolutional Neural Networks

Deep learning has great potential for imaging classification by extracting low to high-level features. Our aim was to train a convolutional neural network (CNN) with single T2-weighted FLAIR sequence to classify different cognitive performances in patients with subcortical ischemic vascular disease...

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Detalles Bibliográficos
Autores principales: Wang, Yao, Tu, Danyang, Du, Jing, Han, Xu, Sun, Yawen, Xu, Qun, Zhai, Guangtao, Zhou, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6593093/
https://www.ncbi.nlm.nih.gov/pubmed/31275106
http://dx.doi.org/10.3389/fnins.2019.00627

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6593093/
https://www.ncbi.nlm.nih.gov/pubmed/31275106
http://dx.doi.org/10.3389/fnins.2019.00627

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