Techniques for Segmentation of Liver Tumors Using CT Scans
Authors: Liam Kennedy-Moore, Abigail Mora Lemus, Yejin Kim
Faculty Supervisor: Ilmi Yoon
Department: Computer Science
Testing different CNN models and training techniques to segment brain tumors using the BraTS dataset and performance metrics like the Dice and coefficient to test the accuracy of our models. Our goal is to find and make a model that is best able to identify and segment brain tumors in MRI images.