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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Publicado en:Radiology
Autores principales: Han, Aiguo, Byra, Michal, Heba, Elhamy, Andre, Michael P., Erdman, John W., Loomba, Rohit, Sirlin, Claude B., O’Brien, William D.
Formato: Artigo
Lenguaje:Inglês
Publicado: Radiological Society of North America 2020
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Original Research
Acceso en línea: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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