Improved distinct bone segmentation from upper-body CT using binary-prediction-enhanced multi-class inference
Abstract: Automated distinct bone segmentation has many applications in planning and navigation tasks. 3D U-Nets have previously been used to segment distinct bones in the upper body, but their performance is not yet optimal. Their most substantial source of error lies not in confusing one bone for another, but in confusing background with bone-tissue.
Loading