System for Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning Techniques
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System for Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning TechniquesFecha
2019-08-21Cita bibliográfica
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.
Resumen
[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.
Palabras clave
Alzheimer
Deep learning
MRI
Sagittal
ANN
Transfer learning
Deep learning
MRI
Sagittal
ANN
Transfer learning
Versión del editor
Derechos
Atribución 3.0 España
ISSN
2504-3900