Abdominal Organ Segmentation Using MRI and Machine Learning

This project is ongoing.

We are interested in analyzing abdominal organs from magnetic resonance images (MRI) using  mage processing tools and/or machine learning. In particular, we are interested in how the size and shape of the pancreas is altered in individuals with diabetes. 

Project Website
https://bmcmedimaging.biomedcentral.com/articles/10.1186/s12880-021-00729-7
Qualifications

Programming skills preferred (Matlab or Python)

Interest in image processing

 

Duties

Medical image analysis

Imaging data organization

Image assessment for pancreas size

Statistical analysis

Typical Time Commitment
5 hours/week
Desired Length of Commitment
2+ semesters
Tags
medical imaging
machine learning
medicine
diabetes
Sign in to Bookmark
Project Lead
Who to Contact
Jack Virostko
Contact Email
jack.virostko@austin.utexas.edu

I'M INTERESTED IN THIS PROJECT. WHAT SHOULD I DO NEXT?

The Office of Undergraduate Research recommends that you attend an info session or advising before contacting faculty members or project contacts about research opportunities. We'll cover the steps to get involved, tips for contacting faculty, funding possibilities, and options for course credit. Once you have attended an Office of Undergraduate Research info session or spoken to an advisor, you can use the "Who to contact" details for this project to get in touch with the project leader and express your interest in getting involved.

Have you tried contacting professors and need more help? Schedule an appointment for additional support.