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Machine Learning in Quantitative PET: A Review of Attenuation Correction and Low-count Image Reconstruction Methods
The rapid expansion of machine learning is offering a new wave of opportunities for nuclear medicine. This paper reviews applications of machine learning for the study of attenuation correction (AC) and low-count image reconstruction in quantitative positron emission tomography (PET). Specifically,...
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| Publicado no: | Phys Med |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7484241/ https://ncbi.nlm.nih.gov/pubmed/32738777 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ejmp.2020.07.028 |
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