Deep learning with multimodal data can predict imminent conversion to wet Age-Related Macular Degeneration
Team: Obsidian
Program:
Biomedical Engineering
Project Description:
Development of a deep learning framework that improves prediction of imminent conversion from the dry form to the wet form of age related macular degeneration using optical coherence tomography imaging.
Team Members
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Project Mentors, Sponsors, and Partners
Research to Prevent Blindness Career Development Award, Awarded to Alvin Liu
Craig Jones
Yuxuan Liu
Course Faculty
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Project Links
Additional Project Information
Project Photo
Project Photo Caption:
Photo shows four slices of a three-dimensional optical coherence tomography (OCT) scan in black and white.