Alzheimer's disease diagnostics by adaptation of 3D convolutional network

Early diagnosis, playing an important role in preventing progress and treating the Alzheimer's disease (AD), is based on classification of features extracted from brain images. The features have to accurately capture main AD-related variations of anatomical brain structures, such as, e.g., vent...

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Bibliographic Details

Published in:	Proceedings - International Conference on Image Processing pp. 126 - 130
Main Authors:	Hosseini-Asl, Ehsan, Keynton, Robert, El-Baz, Ayman
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.09.2016
Subjects:	3D convolutional neural network Alzheimer's disease autoencoder brain MRI Convolution deep learning Feature extraction Hippocampus Magnetic resonance imaging Positron emission tomography Three-dimensional displays Training
ISSN:	2381-8549
Online Access:	Get full text
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