Poster Presentation by Dishita Sharma
First-Year, Computer Science
Mentor: Hua Wang, Computer Science
Mentor: Xiangyu Li, Computer Science
Abstract:
Our research project focuses on making image registration more efficient for detecting breast cancer from tissues samples. At its core, image registration is the concept of matching images under various circumstances. Many types of image registration processes are already used to automatically detect breast cancer, however there is still need to find a technique that is efficient and scalable. Therefore, my team and I are working towards developing an image registration algorithm to better detect and diagnose breast cancer. To achieve our goal, we are analyzing existing image registration algorithms and working with a local hospital to gather data. As a member on the team, I have been tasked with analyzing existing image registration processes and preparing data for our test algorithm. In the near future, I will become more involved with the development and testing of our image registration algorithm. By developing a scalable machine learning algorithm to automatically diagnose breast cancer, my team aims to improve patient convenience, pave the way for using machine learning to uplift our community, and make such processes more common worldwide.