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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...
Autores principales: | Burge, Thomas A., Jeffers, Jonathan R. T., Myant, Connor W. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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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 |
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