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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Podrobná bibliografia

Vydané v:	Proceedings - International Conference on Image Processing s. 126 - 130
Hlavní autori:	Hosseini-Asl, Ehsan, Keynton, Robert, El-Baz, Ayman
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.09.2016
Predmet:	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
On-line prístup:	Získať plný text
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