Artificial Intelligence-Based Recognition of Different Types of Shoulder Implants in X-ray Scans Based on Dense Residual Ensemble-Network for Personalized Medicine

Artificial Intelligence-Based Recognition of Different Types of Shoulder Implants in X-ray Scans Based on Dense Residual Ensemble-Network for Personalized Medicine

Re-operations and revisions are often performed in patients who have undergone total shoulder arthroplasty (TSA) and reverse total shoulder arthroplasty (RTSA). This necessitates an accurate recognition of the implant model and manufacturer to set the correct apparatus and procedure according to the...

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Bibliographic Details
Main Authors: Haseeb Sultan, Muhammad Owais, Chanhum Park, Tahir Mahmood, Adnan Haider, Kang Ryoung Park
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Journal of Personalized Medicine
Subjects:
shoulder arthroplasty
X-ray images
implant classification
deep learning
dense residual ensemble-network
rotational invariant augmentation
Online Access:https://www.mdpi.com/2075-4426/11/6/482

Internet

https://www.mdpi.com/2075-4426/11/6/482

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