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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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| 出版年: | Eur J Radiol |
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| 主要な著者: | , , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2020
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| 主題: | |
| オンライン・アクセス: | 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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