April 15, 2021
Chenxi Zhao, a graduate student in the University of Missouri College of Engineering, recently took first place in his category at an Institute of Electrical and Electronics Engineers (IEEE) competition. The IEEE is the largest technical professional organization in the world.
For his presentation, Zhao outlined research using U-Net, a neural network developed for biomedical image segmentation. Specifically, he tested the model’s ability to identify the contours of organs in medical images.
“Our results were much better than conventional approaches,” Zhao said. “The results had a smaller standard deviation, and the differences were statistically significant. This confirms our method was better and more robust.”