3D CNN Design for the Classification of Alzheimer’s Disease Using Brain MRI and PET

3D CNN Design for the Classification of Alzheimer’s Disease Using Brain MRI and PET

Attempt to diagnose Alzheimer's disease (AD) using imaging modalities is one of the scopes of deep learning. While considering the theoretical background from past studies, we are trying to identify convolutional neural network (CNN) behaviors moving from 2D to 3D architecture. This study aims...

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Bibliographic Details
Main Authors: Bijen Khagi, Goo-Rak Kwon
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
3D CNN
CNN architecture
Alzheimer’s disease
reception area
feature redundancy
data size
Online Access:https://ieeexplore.ieee.org/document/9269972/

Internet

https://ieeexplore.ieee.org/document/9269972/

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