Applying machine learning methods to enable automatic customisation of knee replacement implants from CT data

The aim of this study was to develop an automated pipeline capable of designing custom total knee replacement implants from CT scans. The developed pipeline firstly utilised a series of machine learning methods including classification, object detection, and image segmentation models, to extract geo...

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Detalles Bibliográficos
Autores principales: Burge, Thomas A., Jeffers, Jonathan R. T., Myant, Connor W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9971034/
https://www.ncbi.nlm.nih.gov/pubmed/36849812
http://dx.doi.org/10.1038/s41598-023-30483-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9971034/
https://www.ncbi.nlm.nih.gov/pubmed/36849812
http://dx.doi.org/10.1038/s41598-023-30483-5

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