Posterior Estimation Using Deep Learning: A Simulation Study of Compartmental Modeling in Dynamic PET

BACKGROUND: In medical imaging, images are usually treated as deterministic, while their uncertainties are largely underexplored. PURPOSE: This work aims at using deep learning to efficiently estimate posterior distributions of imaging parameters, which in turn can be used to derive the most probabl...

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Detalles Bibliográficos
Autores principales: Liu, Xiaofeng, Marin, Thibault, Amal, Tiss, Woo, Jonghye, El Fakhri, Georges, Ouyang, Jinsong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cornell University 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055492/
https://www.ncbi.nlm.nih.gov/pubmed/36994161

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055492/
https://www.ncbi.nlm.nih.gov/pubmed/36994161

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