Anatomical-Landmark-Based Deep Learning for Alzheimer’s Disease Diagnosis with Structural Magnetic Resonance Imaging

Author(s):  
Mingxia Liu ◽  
Chunfeng Lian ◽  
Dinggang Shen
Proceedings ◽  
2019 ◽  
Vol 21 (1) ◽  
pp. 28
Author(s):  
Alejandro Puente-Castro ◽  
Cristian Robert Munteanu ◽  
Enrique Fernandez-Blanco

Automatic detection of Alzheimer’s disease is a very active area of research. This is due to its usefulness in starting the protocol to stop the inevitable progression of this neurodegenerative disease. This paper proposes a system for the detection of the disease by means of Deep Learning techniques in magnetic resonance imaging (MRI). As a solution, a model of neuronal networks (ANN) and two sets of reference data for training are proposed. Finally, the goodness of this system is verified within the domain of the application.


2012 ◽  
Vol 8 (3) ◽  
pp. 211-218 ◽  
Author(s):  
Miriam Jocelyn Rodriguez ◽  
Elizabeth Potter ◽  
Qian Shen ◽  
Warren Barker ◽  
Maria Greig-Custo ◽  
...  

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