Prediction of survival through Brain Tumor Segmentation
By: Jessica Zepeda and Hannah Lee
Department: Computer Science
Faculty Advisors: Maxamillian Schneider, Dr. Ilmi Yoon
We will be identifying brain tumors using the U-net segmentation model for our project. We will be dividing the tumor types into two main types: cancerous and benign tumors. The goal of our project is to label each pixel of an image so that it can learn to identify the segmentations and predict the survival of the patient. Our team will be exploring different hyperparameters to best optimize the performance.