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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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| Publicat a: | Eur J Radiol |
|---|---|
| Autors principals: | , , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2020
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| Matèries: | |
| Accés en línia: | 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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