Our research will be focused on accurately predicting the prevalence and distinction between different types of tumorous growths found in the brain.

We will be using various methods of exploratory data analysis to visualize and highlight important indicators of brain tumor development within MRI results.

Our predictive analysis will be founded in the use of multiple supervised/unsupervised and parametric/nonparametric machine learning techniques to accurately predict the prevalence of brain tumors from MRI.