Dictionary learning LASSO for feature selection with application to hepatocellular carcinoma grading using contrast enhanced magnetic resonance imaging

Dictionary learning LASSO for feature selection with application to hepatocellular carcinoma grading using contrast enhanced magnetic resonance imaging

IntroductionThe successful use of machine learning (ML) for medical diagnostic purposes has prompted myriad applications in cancer image analysis. Particularly for hepatocellular carcinoma (HCC) grading, there has been a surge of interest in ML-based selection of the discriminative features from hig...

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Bibliographic Details
Main Authors: Lei Lei, Li-Xin Du, Ying-Long He, Jian-Peng Yuan, Pan Wang, Bao-Lin Ye, Cong Wang, ZuJun Hou
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Oncology
Subjects:
hepatocellular carcinoma (HCC)
radiomics
feature selection
magnetic resonance imaging (MRI)
least absolute shrinkage and selection operator (LASSO) dictionary learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1123493/full

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https://www.frontiersin.org/articles/10.3389/fonc.2023.1123493/full

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