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Data-driven Elasticity Imaging Using Cartesian Neural Network Constitutive Models and the Autoprogressive Method
Quasi-static elasticity imaging techniques rely on model-based mathematical inverse methods to estimate mechanical parameters from force-displacement measurements. These techniques introduce simplifying assumptions that preclude exploration of unknown mechanical properties with potential diagnostic...
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| Publicat a: | IEEE Trans Med Imaging |
|---|---|
| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7364864/ https://ncbi.nlm.nih.gov/pubmed/30403625 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2018.2879495 |
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