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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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36849812 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Applying machine learning methods to enable automatic customisation of knee replacement implants from CT data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Burge+TA%22">Burge TA</searchLink>; Dyson School of Design Engineering, Imperial College, London, SW7 2BU, UK. t.burge20@imperial.ac.uk.<br /><searchLink fieldCode="AU" term="%22Jeffers+JRT%22">Jeffers JRT</searchLink>; Department of Mechanical Engineering, Imperial College, London, SW7 2BU, UK.<br /><searchLink fieldCode="AU" term="%22Myant+CW%22">Myant CW</searchLink>; Dyson School of Design Engineering, Imperial College, London, SW7 2BU, UK. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2023 Feb 27; Vol. 13 (1), pp. 3317. <i>Date of Electronic Publication: </i>2023 Feb 27. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36849812 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-023-30483-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 3317 Titles: – TitleFull: Applying machine learning methods to enable automatic customisation of knee replacement implants from CT data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Burge TA – PersonEntity: Name: NameFull: Jeffers JRT – PersonEntity: Name: NameFull: Myant CW IsPartOfRelationships: – BibEntity: Dates: – D: 27 M: 02 Text: 2023 Feb 27 Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 2045-2322 Numbering: – Type: volume Value: 13 – Type: issue Value: 1 Titles: – TitleFull: Scientific reports Type: main |
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