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Learning-based Stochastic Object Models for Characterizing Anatomical Variations
It is widely known that the optimization of imaging systems based on objective, task-based measures of image quality via computer-simulation requires the use of a stochastic object model (SOM). However, the development of computationally tractable SOMs that can accurately model the statistical varia...
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| Publicado no: | Phys Med Biol |
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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/PMC6535399/ https://ncbi.nlm.nih.gov/pubmed/29536945 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6560/aab000 |
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