AUTOMATIC DETECTION OF ALZHEIMER'S DISEASE BASED ON ARTIFICIAL INTELLIGENCE

Achraf Benba; Abdelilah Kerchaoui

doi:10.35784/iapgos.3383

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Published: Mar 31, 2023

DOI: https://doi.org/10.35784/iapgos.3383

DOI

https://doi.org/10.35784/iapgos.3383

Authors

Achraf Benba

achraf.benba@um5s.net.ma

Mohammed V University in Rabat, Ecole Nationale Supérieure d'Arts et Métiers, Electronic Systems Sensors and Nanobiotechnologies

http://orcid.org/0000-0001-7939-0790

Abdelilah Kerchaoui

kerchaoui.abdelilah1999@gmail.com

Mohammed V University in Rabat, Ecole Nationale Supérieure d'Arts et Métiers, Electronic Systems Sensors and Nanobiotechnologies

https://orcid.org/0009-0004-9561-5960

Abstract

Alzheimer's disease is a neurodegenerative disease that progressively destroys neurons through the formation of platelets that prevent communication between neurons. The study carried out in this project aims to find a precise and relevant diagnostic solution based on artificial intelligence and which helps in the early detection of Alzheimer's disease in order to stop its progression. The study went through a process of processing MRI images followed by training of three deep learning algorithms (VGG-19, Xception and DenseNet121) and finally by a step of testing and predicting the results. The results of the accuracy metric obtained for the three algorithms were respectively 98%, 95%, 91%.

Keywords:

Alzheimer’s disorder, artificial intelligence, deep learning, signal processing

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Benba, A., & Kerchaoui, A. (2023). AUTOMATIC DETECTION OF ALZHEIMER’S DISEASE BASED ON ARTIFICIAL INTELLIGENCE. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 13(1), 18–21. https://doi.org/10.35784/iapgos.3383

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