Alzheimer's disease classification based on combination of multi-model convolutional networks

Alzheimer's disease (AD) is an irreversible neurodegenerative disorder with progressive impairment of memory and cognitive functions. It brings increasingly troubling in today's society. Its early diagnosis and warning are particularly important. Structural magnetic resonance images (MRI)...

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Veröffentlicht in:	IST 2017 : conference proceedings : IEEE International Conference on Imaging Systems and Techniques : Beihang University, Beijing, China, October 18-20, 2017 S. 1 - 5
Hauptverfasser:	Fan Li, Danni Cheng, Manhua Liu
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2017
Schlagworte:	Alzheimer's disease Brain modeling convolutional autoencoder convolutional neural network Diseases Feature extraction feature fusion Image classification Kernel Three-dimensional displays
Online-Zugang:	Volltext
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