Deep Learning-Based Classification and Voxel-Based Visualization of Frontotemporal Dementia and Alzheimer’s Disease

Deep Learning-Based Classification and Voxel-Based Visualization of Frontotemporal Dementia and Alzheimer’s Disease

Frontotemporal dementia (FTD) and Alzheimer’s disease (AD) have overlapping symptoms, and accurate differential diagnosis is important for targeted intervention and treatment. Previous studies suggest that the deep learning (DL) techniques have the potential to solve the differential diagnosis probl...

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Bibliographic Details
Main Authors: Jingjing Hu, Zhao Qing, Renyuan Liu, Xin Zhang, Pin Lv, Maoxue Wang, Yang Wang, Kelei He, Yang Gao, Bing Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Neuroscience
Subjects:
deep learning
convolutional neural network
frontotemporal dementia
Alzheimer’s disease
MRI
visulization
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2020.626154/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2020.626154/full

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