Abstract
Radiomics refers to a method for extracting quantitative features from images and analyzing them. Compared with classic visual image analysis, radiomics provides a more comprehensive and objective approach and is expected to provide additional information from images that cannot be achieved with visual image analysis. Radiomics has been investigated for its potential in predicting the prognosis and biologic behavior of primary liver cancers. Although radiomics offers some advantages, it has several limitations that need to be addressed before it can be used in clinical practice. In this review article, I will discuss radiomics features, the typical processes for radiomics analysis, representative research on radiomics applications in liver cancers, and the limitations of radiomics.
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