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System for Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning Techniques
oleh: Alejandro Puente-Castro, Cristian Robert Munteanu, Enrique Fernandez-Blanco
Format: | Article |
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Diterbitkan: | MDPI AG 2019-08-01 |
Deskripsi
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.