semi-automatic in-house matlab algorithm Search Results


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MathWorks Inc matlab r2018a
Subject-1, Subject-1 Repeat, Subject-2, Subject-2 Repeat, Subject-3, and Subject-3 Repeat power function curve fitting graph for finite-element-analysis (FEA) simulated strain versus compressive stiffness of weight-bearing tibiofemoral soft-tissues shows in figure a – f respectively; g shows 95% confidence interval estimation of all subject (All Graphs Developed in MATLAB <t>R2018a)</t>
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Image Search Results


Subject-1, Subject-1 Repeat, Subject-2, Subject-2 Repeat, Subject-3, and Subject-3 Repeat power function curve fitting graph for finite-element-analysis (FEA) simulated strain versus compressive stiffness of weight-bearing tibiofemoral soft-tissues shows in figure a – f respectively; g shows 95% confidence interval estimation of all subject (All Graphs Developed in MATLAB R2018a)

Journal: Journal of Translational Medicine

Article Title: Model for in-vivo estimation of stiffness of tibiofemoral joint using MR imaging and FEM analysis

doi: 10.1186/s12967-021-02977-1

Figure Lengend Snippet: Subject-1, Subject-1 Repeat, Subject-2, Subject-2 Repeat, Subject-3, and Subject-3 Repeat power function curve fitting graph for finite-element-analysis (FEA) simulated strain versus compressive stiffness of weight-bearing tibiofemoral soft-tissues shows in figure a – f respectively; g shows 95% confidence interval estimation of all subject (All Graphs Developed in MATLAB R2018a)

Article Snippet: A semi-automatic, in-house-built routine measured the tibiofemoral bone gap using MATLAB R2018a (The MathWorks Inc., Natick, MA, USA).

Techniques: