Deep Learning for Automated Classification of Hip Hardware on Radiographs.

Purpose: To develop a deep learning model for automated classification of orthopedic hardware on pelvic and hip radiographs, which can be clinically implemented to decrease radiologist workload and improve consistency among radiology reports. Materials and Methods: Pelvic and hip radiographs from 42...

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Bibliographic Details

Published in:	Journal of Imaging Informatics in Medicine Vol. 38; no. 2; pp. 988 - 997
Main Authors:	Ma, Yuntong, Bauer, Justin L., Yoon, Acacia H., Beaulieu, Christopher F., Yoon, Luke, Do, Bao H., Fang, Charles X.
Format:	diagnostic images research tables/charts Journal Article
Published:	Springer Nature Apr2025
Online Access:	View this record in EBSCOhost