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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Proceedings - International Conference on Image Processing S. 126 - 130
Hauptverfasser:	Hosseini-Asl, Ehsan, Keynton, Robert, El-Baz, Ayman
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.09.2016
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!