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Severity and Cobb angle of scoliosis patients quantified with markerless trunk surface topography using k-NN search and multivariate regression analysis.

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Title: Severity and Cobb angle of scoliosis patients quantified with markerless trunk surface topography using k-NN search and multivariate regression analysis.
Authors: Rothstock, Stephan1, rothstock@gfai.de, González-Ruiz, José María2, Weiss, Hans-Rudolf3, Turnbull, Deborah4, Krueger, Daniel1
Source: Computer Methods in Biomechanics & Biomedical Engineering: Imaging & Visualisation; Dec2023, Vol. 11 Issue 6, p2433-2439, 7p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=174632748
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/21681163.2023.2238840
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 2433
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      – TitleFull: Severity and Cobb angle of scoliosis patients quantified with markerless trunk surface topography using k-NN search and multivariate regression analysis.
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            NameFull: González-Ruiz, José María
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            NameFull: Weiss, Hans-Rudolf
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            – D: 01
              M: 12
              Text: Dec2023
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              Y: 2023
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