College - Author 1
College of Engineering
Department - Author 1
Electrical Engineering Department
Degree Name - Author 1
BS in Electrical Engineering
College - Author 2
College of Engineering
Department - Author 2
Electrical Engineering Department
Degree - Author 2
BS in Electrical Engineering
College - Author 3
College of Engineering
Department - Author 3
Electrical Engineering Department
Degree - Author 3
BS in Electrical Engineering
College - Author 4
College of Engineering
Department - Author 4
Electrical Engineering Department
Degree - Author 4
BS in Electrical Engineering
Date
6-2022
Primary Advisor
Xiao-Hua (Helen) Yu, College of Engineering, Electrical Engineering Department
Abstract/Summary
Alzheimer’s disease is a form of dementia that affects a person's memory and quality of life as their brain deteriorates. This disease can present itself with frequent memory loss, displacing oneself in unknown location, and often physical reduction of the brain. Alzheimer’s is estimated to affect 5.8 million people in the United States with no cure, strictly preventative recommendations. Early detection of Alzheimer’s provides patients with the opportunity to take preventative measures and plan for the future. The project builds on previous student work using Magnetic Resonance Imaging (MRI) data. The primary database used for MRI images was from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). The project used Python to construct the convolutional neural network and utilized five-fold cross validation for training the neural network for Alzheimer’s recognition.
URL: https://digitalcommons.calpoly.edu/eesp/566