Applying machine learning methods to enable automatic customisation of knee replacement implants from CT data.
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| Title: | Applying machine learning methods to enable automatic customisation of knee replacement implants from CT data. |
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| Authors: | Burge TA; Dyson School of Design Engineering, Imperial College, London, SW7 2BU, UK. t.burge20@imperial.ac.uk., Jeffers JRT; Department of Mechanical Engineering, Imperial College, London, SW7 2BU, UK., Myant CW; Dyson School of Design Engineering, Imperial College, London, SW7 2BU, UK. |
| Source: | Scientific reports [Sci Rep] 2023 Feb 27; Vol. 13 (1), pp. 3317. Date of Electronic Publication: 2023 Feb 27. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-023-30483-5 |
