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Automated identification of hip arthroplasty implants using artificial intelligence

The purpose of this study was to develop and evaluate the performance of deep learning methods based on convolutional neural networks (CNN) to detect and identify specific hip arthroplasty models. In this study, we propose a novel deep learning-based approach to identify hip arthroplasty implants’ d...

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Detalles Bibliográficos
Autores principales: Gong, Zibo, Fu, Yonghui, He, Ming, Fu, Xinzhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9288441/
https://www.ncbi.nlm.nih.gov/pubmed/35842515
http://dx.doi.org/10.1038/s41598-022-16534-3