From March 28 to 30, the 7th International Conference on Control and Computer Vision (ICCCV 2025) was held in Wuhan. The conference was hosted by Hubei University of Technology and organized by the School of Mechanical Engineering and the School of Intelligent Manufacturing Industry. Zhou Yue, an undergraduate student of MSE, attended the conference and delivered an oral presentation.
The conference paper titled "RIBTRACK: Rib-Based Tracking for Multi-Planar Reconstruction—A Novel Approach to Automated Rib Multiplanar Reconstruction Using YOLOv10 with ByteTrack" by the research team led by Professor Liao Guanglan and Associate Professor Liu Zhiyong from Department Mechatronic Engineering won the "Best Presentation Award" and was indexed in EI (Proceedings of the 2024 9th International Conference on Control, Robotics and Cybernetics). Master's student Zhuo Huasheng and undergraduate Zhou Yue were co-first authors of the paper.
Rib fractures are a common injury that pose significant risks and require rapid and accurate diagnosis. Traditional chest CT radiodiagnosis techniques heavily rely on manual image interpretation, which is labor-intensive, highly dependent on experience, and often lacks accuracy. To address this issue, the study presented a novel automated method for rib multiplanar reconstruction, integrating object detection and tracking algorithms. This represents an important step forward for CT reconstruction technology, providing a reliable solution for rib fracture diagnosis and addressing the limitations of traditional multiplanar reconstruction (MPR). The research makes significant contributions to both scientific research and clinical practice.
