Automated detection and classification of shoulder arthroplasty models using deep learning.

Objective: To develop and evaluate the performance of deep convolutional neural networks (DCNN) to detect and identify specific total shoulder arthroplasty (TSA) models.Materials and Methods: We included 482 radiography studies obtained from publicly available image repositories with native shoulder...

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Bibliographic Details

Published in:	Skeletal Radiology Vol. 49; no. 10; pp. 1623 - 1633
Main Authors:	Yi, Paul H., Kim, Tae Kyung, Wei, Jinchi, Li, Xinning, Hager, Gregory D., Sair, Haris I., Fritz, Jan
Format:	research tables/charts Journal Article
Published:	Springer Nature Oct2020
Online Access:	View this record in EBSCOhost