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Machine Learning-Based CEMRI Radiomics Integrating LI-RADS Features Achieves Optimal Evaluation of Hepatocellular Carcinoma Differentiation

PURPOSE: To develop and compare various machine learning (ML) classifiers that employ radiomics extracted from contrast-enhanced magnetic resonance imaging (CEMRI) for diagnosing pathological differentiation of hepatocellular carcinoma (HCC), and validate the performance of the best model. METHODS:...

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Detalles Bibliográficos
Autores principales:	Liu, Hai-Feng, Lu, Yang, Wang, Qing, Lu, Yu-Jie, Xing, Wei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Dove 2023
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693828/ https://www.ncbi.nlm.nih.gov/pubmed/38050577 http://dx.doi.org/10.2147/JHC.S434895

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