1 code implementation • 9 Sep 2021 • Yasmin Salehi, Dennis Giannacopoulos
To circumvent this problem, the most recent works in this domain have proposed leveraging data-driven models obtained by training various machine learning algorithms -- e. g., random forests, artificial neural networks (ANNs) -- with the results of finite element analysis (FEA) to speed up tissue deformation approximations by prediction.
