RT info:eu-repo/semantics/conferenceProceedings
T1 Deep learning neural network for Alzheimer’s disease predictions
A1 Alyaqoobi, H.I.
A1 López López, J.M.
A1 Akbar, O.A.
A1 Rahebi, J.
A2 Domínguez GonzálezM.
A2 Cabrera SantanaP.J.
A2 Irigoyen GordoE.
A2 Otros
K1 Ingeniería de sistemas
K1 Deep learning
K1 Hawks, Harris
K1 Neural network
K1 Alzheimer’s disease predictions
K1 1207.14 Formulación de Sistemas
AB [EN] Alzheimer's disease is a dangerous and progressive disease that affects the nervous system and brain of people. An important and effective approach to treating Alzheimer's disease is to diagnose the disease early so that more effective treatments can be offered. One practical way to diagnose Alzheimer's disease is to use magnetic resonance imaging to detect plaque and affected areas. In this paper, a new method based on the Harris Hawks optimization method is presented for Alzheimer’s disease diagnosis. This method uses the best features that obtain from the MRI images and uses it in deep learning to classify the healthy and non-healthy images.
PB Universidad de León
SN 978-84-18490-65-1
LK https://hdl.handle.net/10612/16969
UL https://hdl.handle.net/10612/16969
NO Alyaqoobi, H. I., Lopez-Guede, J. M., Akbar, O. A., Rahebi, J. (2022). Deep learning neural network for Alzheimer’s disease predictions. XVII Simposio CEA de Control Inteligente: Reunión anual del grupo de Control Inteligente del comité español de automática (CEA). Libro de Actas, León, 27-29 de junio de 2022. 101-103
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 12-jun-2024