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Insights into Imaging
Fig. 3 | Insights into Imaging

Fig. 3

From: Feasibility and effectiveness of automatic deep learning network and radiomics models for differentiating tumor stroma ratio in pancreatic ductal adenocarcinoma

Fig. 3

The selection process of the LASSO model. a Lasso coefficient profile plot with different log (λ) was shown. The vertical dashed lines represent 10 radiomics features with nonzero coefficients selected with the optimal λ value. b The LASSO model’s tuning parameter (λ) selection via minimum criterion. The vertical lines indicate the optimal value of the LASSO tuning parameter (λ). c Feature’s weights of selected 10 features. d Heatmap of 10 features

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