Context-aware dual-task deep network for concurrent bone segmentation and clinical assessment to enhance shoulder arthroplasty preoperative planning

Abstract:

Goal: Effective preoperative planning for shoulder joint replacement requires accurate glenohumeral joint (GH) digital surfaces and reliable clinical staging. Methods: xCELUNet was designed as a dual-task deep network for humerus and scapula bone reconstruction in CT scans, and assessment of three GH joint clinical conditions, namely osteophyte size (OS), joint …