Finite element-machine learning surrogates for synthetic recovery of breast tissue elastic properties: Observation sensitivity and generalization analysis.
This study developed and systematically evaluated a computational framework combining finite element modeling (FEM) and machine learning for the synthetic recovery of tissue-specific elastic properties from high-dimensional displacement fields generated within a fixed finite element model. A heterogeneous three-dimensi...