Convolutional neural network-automated hepatobiliary phase adequacy evaluation may optimize examination time

PURPOSE: To develop and evaluate the performance of a fully-automated convolutional neural network (CNN)-based algorithm to evaluate hepatobiliary phase (HBP) adequacy of gadoxetate disodium (EOB)-enhanced MRI. Secondarily, we explored the potential of the proposed CNN algorithm to reduce examinatio...

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Detalhes bibliográficos
Publicado no:Eur J Radiol
Main Authors: Cunha, Guilherme Moura, Hasenstab, Kyle A., Higaki, Atsushi, Wang, Kang, Delgado, Timo, Brunsing, Ryan L., Schlein, Alexandra, Schwartzman, Armin, Hsiao, Albert, Sirlin, Claude B, Fowler, Katie J.
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7309446/
https://ncbi.nlm.nih.gov/pubmed/31958630
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ejrad.2020.108837
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