Fig. 3 | Scientific Reports

Fig. 3

From: Radiomics analysis in differentiating osteosarcoma and chondrosarcoma based on T2-weighted imaging and contrast-enhanced T1-weighted imaging

Fig. 3

Radiomics features were selected from CET1 and T2WI-FS using the LASSO binary logistic regression model. (a,c) is the tuning parameter (λ) in the LASSO model selected by ten cross-validations based on the minimum criterion. The lower x axis represents log (λ), the upper x axis represents the number of elements, and the y axis represents the binomial deviation. The dashed vertical line indicates the deviation value for each model with a given λ. The vertical dashed black line indicates the optimal value of λ. When the optimal λ is selected as 0.0008 in (a), log (λ) value is −3.13, and when the optimal λ is selected as 0.0031 in (c), log value (λ) is −2.506352. (b,d) Shows the LASSO coefficient profiles of 530 radiomics features. (b) Shows 15 selected features with non-zero coefficients in the T2WI-FS sequence and (d) shows 8 selected features with non-zero coefficients in the CET1 sequence.

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