Diagnosis of Alzheimer’s Disease via Multi-Modality 3D Convolutional Neural Network

Diagnosis of Alzheimer’s Disease via Multi-Modality 3D Convolutional Neural Network

Alzheimer’s disease (AD) is one of the most common neurodegenerative diseases. In the last decade, studies on AD diagnosis has attached great significance to artificial intelligence-based diagnostic algorithms. Among the diverse modalities of imaging data, T1-weighted MR and FDG-PET are widely used...

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Bibliographic Details
Main Authors: Yechong Huang, Jiahang Xu, Yuncheng Zhou, Tong Tong, Xiahai Zhuang, the Alzheimer’s Disease Neuroimaging Initiative (ADNI)
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-05-01
Series:Frontiers in Neuroscience
Subjects:
Alzheimer’s disease
multi-modality
image classification
CNN
deep learning
hippocampal
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2019.00509/full

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https://www.frontiersin.org/article/10.3389/fnins.2019.00509/full

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