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Communication Dans Un Congrès Année : 2019

Kernel selection in statistical femur modeling

Résumé

We aim to contribute to the development, analysis, and assessment of the statistical femur model when combined with a set of different analytical kernel functions. Reported results demonstrate the superior performance of data-driven femur model (computed from a few femur examples) when combined with an anisotropic kernel. These femur models have great potential for surgery applications.
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Dates et versions

hal-02277009 , version 1 (04-09-2019)

Identifiants

  • HAL Id : hal-02277009 , version 1

Citer

Alireza Asvadi, Guillaume Dardenne, Aziliz Guezou-Philippe, Asma Salhi, Bhushan Borotikar, et al.. Kernel selection in statistical femur modeling. Surgetica'2019, Haigron, Simon and Jannin, Jun 2019, Rennes, France. ⟨hal-02277009⟩
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