Akaki Margvelashvili
MIT EECS | Angle Undergraduate Research and Innovation Scholar
Identifying Cancer on Breast X-Ray Images
2017–2018
EECS
- Artificial Intelligence & Machine Learning
Regina A. Barzilay
Breast cancer is obviously a major medical issue today. Doctors need to be well-trained to successfully diagnose breast cancer from x-ray images, but they are still nowhere close to being perfect in doing so. This project’ s goal is to build a machine learning algorithm that will successfully detect and locate cancer regions in a given breast X-ray image.
Participating in SuperUROP is a great way for me to work on an important project using the Machine Learning knowledge I gained from Machine Learning (6.867) and the UROP I did with Professor Regina Barzilay last year. It will help improve my research work ethics and skills.