Quality Assurance of Radiation Treatments for Cancer Patients using Machine Learning
In collaboration with Mays Cancer Center (UT Health SA), I am working to develop a machine learning (ML)-based QA tool for radiotherapy. This tool aims to be more robust in handling data irregularities, while simultaneously reducing the clinical burden associated with radiotherapy evaluation processes. The main objective of this undergraduate research project will be to evaluate the pros and cons of using ML for radiotherapy QA. The key focus area will be data science/ML and medical physics (field of radiation therapy).
- Faculty: Arka Roy
- Department: Management Science and Statistics
- Open Positions: 2
- Mode: Remote
- Hours per week: 10
Requirements and Responsibilities:
Needed Skills:
- Programming in R or Python
- Basic understanding of statistical modeling.
Student Responsibilities: Help in organizing data, cleaning data, modeling, and creating visualizations. Create posters and slides for presentations.
