Automated Screw Planning for Reduced Pelvic Fractures Based on Statistical Shape Models and Deep Learning
A fully automated pipeline for preoperative iliosacral screw planning in patients with pelvic fractures is proposed, using patient-specific three-dimensional anatomy that automatically identifies safe screw corridors and generates individualized insertion trajectories to support clinical preoperative planning.
Yang Gao, Sutuke Yibulayimu, Yan-Zhen Liu et al.
· 0 citations