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Experimental investigation of neural network estimator and transfer learning techniques for K-edge spectral CT imaging

PURPOSE: Material decomposition algorithms require accurate physics-based models or empirically-derived models. This study investigates a machine learning algorithm and transfer learning techniques for imaging of K-edge contrast agents using simulated and experimental measurements. METHODS: A feed f...

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Détails bibliographiques
Publié dans:Med Phys
Auteurs principaux: Zimmerman, Kevin C., Sharma, Gayatri, Parchur, Abdul Kareem, Joshi, Amit, Schmidt, Taly Gilat
Format: Artigo
Langue:Inglês
Publié: 2020
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7747865/
https://ncbi.nlm.nih.gov/pubmed/31838745
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13946
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