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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Detalles Bibliográficos
Autores principales: Kang, Yang-Jae, Yoo, Jun-Il, Cha, Yong-Han, Park, Chan H., Kim, Jung-Taek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Chinese Speaking Orthopaedic Society 2019
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013104/
https://www.ncbi.nlm.nih.gov/pubmed/32071870
http://dx.doi.org/10.1016/j.jot.2019.11.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013104/
https://www.ncbi.nlm.nih.gov/pubmed/32071870
http://dx.doi.org/10.1016/j.jot.2019.11.004

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