NeuroNet: A Deep Learning Model for Alzheimer's Diagnosis

This project is a deep-learning model that can diagnose Alzheimer's Disease through MRI data. Moreover, it can even detect Alzheimer's early, in the form of early mild cognitive impairment and late mild cognitive impairment. While this model isn't meant to be a definitive test to diagnose Alzheimer's, it can serve as an initial diagnostic tool. The model is a convolutional neural network that analyzes 3D MRI images.

To learn more about the model, check out our GitHub page here: github.com/srsavas42/IE3_ML

This project was completed as part of the IEEE Technical Program by Izzy Huang, Amiin Muse, Hyeyun Jeong, Kavi Subramanyan and Akash Vikram Shroff, guided by Stephen Savas.