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Noninvasive Diagnosis of Nonalcoholic Fatty Liver Disease and Quantification of Liver Fat with Radiofrequency Ultrasound Data Using One-dimensional Convolutional Neural Networks
BACKGROUND: Radiofrequency ultrasound data from the liver contain rich information about liver microstructure and composition. Deep learning might exploit such information to assess nonalcoholic fatty liver disease (NAFLD). PURPOSE: To develop and evaluate deep learning algorithms that use radiofreq...
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| Udgivet i: | Radiology |
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| Main Authors: | , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Radiological Society of North America
2020
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7193902/ https://ncbi.nlm.nih.gov/pubmed/32096706 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/radiol.2020191160 |
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