Utilization of a Machine Learning Algorithm for the Application of Ancillary Features to LI-RADS Categories LR3 and LR4 on Gadoxetate Disodium-Enhanced MRI
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DOI: 10.3390/cancers15051361
Abstract: Simple Summary In the Liver Imaging Reporting and Data System (LI-RADS), liver observations are categorized as LR1-LR5 according to the probability of benign and hepatoma on the basis of major features. Subsequent adjustment is allowed… read more here.
Keywords: ancillary features; machine learning; applying afs; tree algorithm ... See more keywords