Computer-aided spinal disease diagnostic system

This proposed research aims at developing a fully automated computerized system for multiple spinal disease diagnosis. It improves the efficiency of the current clinically workflow. The development of the research is based on the state-of-the-art computer vision and image processing techniques. To the best of our knowledge, our group is the first group focusing on this direction. Once success, it will not only improve the clinician’s accuracy, inter and intraobservability, but also promote the technical advancement in the computer vision and image processing.

Intern: 
Sudhakar Tummala, Zhijie Wang & TBD
Faculty Supervisor: 
Dr. Walt Romano
University: 
Program: