A team of researchers from the Department of Computer Science and the School of Medicine earned a Best Presentation Award at the 2019 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI).
The paper, titled, “Real-time 3D Reconstruction of Colonoscopic Surfaces for Determining Missing Regions,” addresses one of the shortcomings of colonoscopy in screening the large intestine for cancer precursors. Parts of the surface area of the colon are frequently missed by the camera during colonoscopy, and it is difficult for the endoscopist to realize while watching the video. This project utilizes machine learning to create a 3D reconstruction of the colon in real-time from the endoscope video.
Lead author and computer science doctoral student Ruibin Ma presented the paper, which was co-authored by doctoral student Rui Wang (Department of Computer Science), Sarah McGill (School of Medicine), Julian Rosenman (Medicine and Computer Science), Stephen Pizer (Computer Science), and Jan-Michael Frahm (Computer Science). The award was presented during MICCAI 2019, which was held October 13-17 in Shenzhen, China.