Alzheimer’s Disease Detection using Convolutional Neural Netowork & Wavelets

Author(s) Information

Ean Hendrickson, California Polytechnic State University, San Luis ObispoFollow
Gabriel Amancio, California Polytechnic State University, San Luis ObispoFollow
Chloe Eusbio, California Polytechnic State University, San Luis ObispoFollow
Kaioli Bessert, California Polytechnic State University, San Luis ObispoFollow

College - Author 1

College of Engineering

Department - Author 1

Electrical Engineering Department

Degree Name - Author 1

BS in Electrical Engineering

Date

6-2019

Primary Advisor

Xiao-Hua Yu

Abstract/Summary

It is estimated that 5.7 million people in the United States have Alzheimer’s dementia, including about 1 in 10 people above the age of 65. Alzheimer’s disease detection can help doctors to diagnose patients earlier and help them with preventative, proactive treatment. In this project, we attempt to use two different methods to analyze MRI brain images for Alzheimer’s disease detection, one with convolutional neural network and deep learning algorithm, and the other one with discrete wavelet transform. Computer simulation results are presented in the report.

URL: https://digitalcommons.calpoly.edu/eesp/456