Utilization of a Machine Learning Algorithm for the Application of Ancillary Features to LI-RADS Categories LR3 and LR4 on Gadoxetate Disodium-Enhanced MRI

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 using ancillary features (AFs). However, the LI-RADS does not p...

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Detalles Bibliográficos
Autores principales: Park, Seongkeun, Byun, Jieun, Hwang, Sook Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000173/
https://www.ncbi.nlm.nih.gov/pubmed/36900153
http://dx.doi.org/10.3390/cancers15051361

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000173/
https://www.ncbi.nlm.nih.gov/pubmed/36900153
http://dx.doi.org/10.3390/cancers15051361

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