Machine learning–based identification of hip arthroplasty designs

Background: The purposes of this study were to develop a machine learning–based implant recognition program and to verify its accuracy. Methods: Postoperative anteroposterior (AP) X-rays (≥300 dpi) were collected of patients who underwent total hip arthroplasty. X-rays with a wire or plate added and...

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Bibliographic Details
Main Authors: Yang-Jae Kang, Jun-Il Yoo, Yong-Han Cha, Chan H. Park, Jung-Taek Kim
Format: Article
Language:English
Published: Elsevier 2020-03-01
Series:Journal of Orthopaedic Translation
Online Access:http://www.sciencedirect.com/science/article/pii/S2214031X19302438