A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time.
Francisco Martínez-MartínezMaría J. Rupérez-MorenoMarcelino Martínez-SoberJ. A. Solves LlorensDelia LorenteAntonio J. SerranoSandra Martínez-SanchisCarlos Monserrat ArandaJosé David Martín-GuerreroPublished in: Comput. Biol. Medicine (2017)
Keyphrases
- finite element
- machine learning
- real time
- gpu accelerated
- finite element model
- biomechanical model
- elastic properties
- soft tissue
- surgical simulation
- finite element method
- finite element analysis
- material properties
- mesh generation
- tissue deformation
- numerical solution
- patient specific
- medical images
- breast tissue
- experimental data
- image analysis
- shear stress
- boundary element
- pectoral muscle
- high fidelity
- finite difference
- computer aided diagnosis
- mechanical properties