Use of Deep Learning Networks and Statistical Modeling to Predict Changes in Mechanical Parameters of Contaminated Bone Cements

The purpose of the study was to test the usefulness of deep learning artificial neural networks and statistical modeling in predicting the strength of bone cements with defects. The defects are related to the introduction of admixtures, such as blood or saline, as contaminants into the cement at the...

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Detalles Bibliográficos
Autores principales: Machrowska, Anna, Szabelski, Jakub, Karpiński, Robert, Krakowski, Przemysław, Jonak, Józef, Jonak, Kamil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731130/
https://www.ncbi.nlm.nih.gov/pubmed/33260793
http://dx.doi.org/10.3390/ma13235419

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731130/
https://www.ncbi.nlm.nih.gov/pubmed/33260793
http://dx.doi.org/10.3390/ma13235419

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