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

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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Bibliographic Details
Main Authors: Yao Wang, Danyang Tu, Jing Du, Xu Han, Yawen Sun, Qun Xu, Guangtao Zhai, Yan Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-06-01
Series:Frontiers in Neuroscience
Subjects:
subcortical ischemic vascular disease
convolution neural network
cognitive impairment
deep learning
magnetic resonsnce imaging
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2019.00627/full

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https://www.frontiersin.org/article/10.3389/fnins.2019.00627/full

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