Deep Learning-Based Postoperative Recovery and Nursing of Total Hip Arthroplasty

OBJECTIVE: To develop a deep learning-assisted recovery and nursing system after total hip arthroplasty and to conduct clinical trials in order to verify its accuracy. METHODS: In our study, based on manual labeling, the human hip X-ray image library was established, and the deep neural network base...

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Detalles Bibliográficos
Autores principales: Wang, Hui-Min, Lin, Yong-Pei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9162815/
https://www.ncbi.nlm.nih.gov/pubmed/35664639
http://dx.doi.org/10.1155/2022/7811200

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9162815/
https://www.ncbi.nlm.nih.gov/pubmed/35664639
http://dx.doi.org/10.1155/2022/7811200

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