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Research progress of machine learning model based on CT and MRI radiomics for predicting early recurrence of hepatocellular carcinoma
YUAN Jinglei  XIE Xiaotong  ZHANG Peina  MA Liheng 

Cite this article as: Yuan JL, Xie XT, Zhang PN, et al. Research progress of machine learning model based on CT and MRI radiomics for predicting early recurrence of hepatocellular carcinoma[J]. Chin J Magn Reson Imaging, 2022, 13(12): 154-158. DOI:10.12015/issn.1674-8034.2022.12.029.

[Abstract] Patients with early recurrence of hepatocellular carcinoma (HCC) tend to have a worse prognosis than those with late recurrence, and most of the early symptoms of the disease are non-specific. Machine learning (ML) is the core branch of artificial intelligence (AI), with the increasing development of AI, radiomics combined with ML breaks the limitations of human eye recognition, deeply explores the hidden information of texture and morphology in medical images that reflect certain biological characteristics of cells, processes and screens high-dimensional features for quantitative data analysis. Building HCC early recurrence prediction models can benefit more patients from clinical treatment as early as possible and thus improve survival rates. In this article, we compare and analyze the CT and MRI based radiomics models in the literature for predicting early recurrence of HCC and review their research progress.
[Keywords] hepatocellular carcinoma;early recurrence;radiomics;artificial intelligence;machine learning;computed tomography;magnetic resonance imaging

YUAN Jinglei   XIE Xiaotong   ZHANG Peina   MA Liheng*  

Department of Medical Imaging, the First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou 510080, China

Ma LH, E-mail:

Conflicts of interest   None.

Received  2022-03-06
Accepted  2022-10-08
DOI: 10.12015/issn.1674-8034.2022.12.029
Cite this article as: Yuan JL, Xie XT, Zhang PN, et al. Research progress of machine learning model based on CT and MRI radiomics for predicting early recurrence of hepatocellular carcinoma[J]. Chin J Magn Reson Imaging, 2022, 13(12): 154-158. DOI:10.12015/issn.1674-8034.2022.12.029.

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