Machine learning (ML) to model the liver biomechanical behaviour during breathing. ML is much faster than the popular FEM, allowing real-time soft tissue modelling. Modelling scheme able to predict deformation for a new load and a new liver. ML regression models were used: three tree-based methods and two simpler ones. Good prediction performance was obtained: all samples with an error under 1 mm.
NGLC 2004-2010.National Geological Library of China All Rights Reserved.
Add:29 Xueyuan Rd,Haidian District,Beijing,PRC. Mail Add: 8324 mailbox 100083
For exchange or info please contact us via email.