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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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| Publicado no: | IEEE Trans Med Imaging |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | 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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