Context-Aware Dual-Task Deep Network for Concurrent Bone Segmentation and Clinical Assessment to Enhance Shoulder Arthroplasty Preoperative planning

Context-Aware Dual-Task Deep Network for Concurrent Bone Segmentation and Clinical Assessment to Enhance Shoulder Arthroplasty Preoperative planning

<italic>Goal:</italic> Effective preoperative planning for shoulder joint replacement requires accurate glenohumeral joint (GH) digital surfaces and reliable clinical staging. <italic>Methods:</italic> xCEL-UNet was designed as a dual-task deep network for humerus and scapula...

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Bibliographic Details
Main Authors: Luca Marsilio, Andrea Moglia, Alfonso Manzotti, Pietro Cerveri
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of Engineering in Medicine and Biology
Subjects:
Assisted preoperative planning
deep learning
explainable AI
shoulder arthroplasty
shoulder bone segmentation
Online Access:https://ieeexplore.ieee.org/document/10835174/
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https://ieeexplore.ieee.org/document/10835174/

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