The word radiomics, like all domains of type omics, assumes the existence of a large amount
of data. Using artificial intelligence, in particular, different machine learning techniques, is a
necessary step for better data exploitation. Classically, researchers in this field of radiomics
have used conventional machine learning techniques (random forest, for example). More
recently, deep learning, a subdomain of machine learning, has emerged. Its applications are
increasing, and the results obtained so far have demonstrated their remarkable …

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