System for Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning Techniques

Puente-Castro, Alejandro; Munteanu, Cristian-Robert; Fernández-Blanco, Enrique

Use this link to cite:

http://hdl.handle.net/2183/23936

System for Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning Techniques

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A.Puente-Casto_2019_System_for_Automatic_Assessment_of_Alzheimer’s.pdf (176.07 KB)

Identifiers

URI: http://hdl.handle.net/2183/23936

DOI: 10.3390/proceedings2019021028

Publication date

2019-08-21

Authors

Puente-Castro, Alejandro

Munteanu, Cristian-Robert

Fernández-Blanco, Enrique

Bibliographic citation

Puente-Castro, A.; Munteanu, C.R.; Fernandez-Blanco, E. System for Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning Techniques. Proceedings 2019, 21, 28.

Abstract

[Abstract] 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.