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Insights into Imaging
Fig. 4 | Insights into Imaging

Fig. 4

From: A virtual biopsy study of microsatellite instability in gastric cancer based on deep learning radiomics

Fig. 4

Optimal radiomics features selection and the distribution of Rad-score. A The least absolute shrinkage and selection operator (LASSO) binary logistic regression was used to select 15 nonzero features with the highest coefficient. B The 15 nonzero coefficients radiomics features subset distribution. The boxplots of Rad-score distribution for the MSI group and MSS group in the training (C) and testing (D) sets

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