Multi-View Based Multi-Model Learning for MCI Diagnosis
Mild cognitive impairment (MCI) is the early stage of Alzheimer’s disease (AD). Automatic diagnosis of MCI by magnetic resonance imaging (MRI) images has been the focus of research in recent years. Furthermore, deep learning models based on 2D view and 3D view have been widely used in the...
Main Authors: | Ping Cao, Jie Gao, Zuping Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-03-01
|
Series: | Brain Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3425/10/3/181 |
Similar Items
-
Computer-Aided Diagnosis of Alzheimer’s Disease through Weak Supervision Deep Learning Framework with Attention Mechanism
by: Shuang Liang, et al.
Published: (2021-12-01) -
Diagnosis of Alzheimer’s Disease via Multi-Modality 3D Convolutional Neural Network
by: Yechong Huang, et al.
Published: (2019-05-01) -
Pose Recognition of 3D Human Shapes via Multi-View CNN with Ordered View Feature Fusion
by: Hui Wang, et al.
Published: (2020-08-01) -
Epileptic Seizure Prediction With Multi-View Convolutional Neural Networks
by: Chien-Liang Liu, et al.
Published: (2019-01-01) -
Identification of multimodal brain imaging association via a parameter decomposition based sparse multi-view canonical correlation analysis method
by: Alzheimer's Disease Neuroimaging Initiative, et al.
Published: (2022)