Akaki  Margvelashvili

Akaki Margvelashvili

Scholar Title

MIT EECS | Angle Undergraduate Research and Innovation Scholar

Research Title

Identifying Cancer on Breast X-Ray Images

Cohort

2017–2018

Department

EECS

Research Areas
  • Artificial Intelligence and Machine Learning
Supervisor

Regina A. Barzilay

Abstract

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.

Quote

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.

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