Vessel’s journey toward applying machine learning to vessel segmentation

Leslie Wubbel, Anikate Ganju, and Brittnie Yi, the team behind the creation of Vessel, are passionate about using computer and data sciences to ignite a change in the medical scene of CT scans and radiology. Through their participation in the Nittany AI Challenge, they are striving to create a minimal viable product to showcase the research they’ve endeavored at Penn State. The team’s primary goal is to use pixel classification to distinguish vessels in slices of CT scans.

AI Enables Us to Think Differently about Experiences for People with Disabilities

We need to design for all humans, of all abilities and capacities, particularly as we are entering a new era of AI revolution. Traditionally, technological design, development, and deployment have been driven by a monolithic and normative view of human capacity. This has left out nearly 15% of the population. Our current accessibility standards are old, outdated, and not properly implemented.

Our Students Are the Solution

The common thread that runs through each experience is the student who uses their talent, knowledge, teamwork and newly found skills to overcome every obstacle and leave us in awe of their work. Each student team that competes in the Challenge is tasked to work with AI to develop a solution to a real-world problem. Their end goal is to create a product that will not only help them to stand out but also light the path for a future generation of students.

Stay Informed

The Alliance is hard at work with AI industry partners to bring cutting-edge programming to Penn State. Don’t miss your opportunity to get involved!

Share your contact information to stay up-to-date on all of the activities, challenges, and networking opportunities the Nittany AI Alliance will be offering in the coming months. You’ll be among the first to know about AI–related programming, giving you a chance to sign up early for events that may offer limited seating or enrollment capacity.

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