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Fig. 2 | EJNMMI Research

Fig. 2

From: Development and validation of 68Ga-PSMA-11 PET/CT-based radiomics model to detect primary prostate cancer

Fig. 2

LASSO algorithm and tenfold cross-validation were used to extract the optimal subset of radiomics features. a Optimal tuning parameter (lambda) selection according to partial likelihood deviation of the model. b LASSO coefficient profiles of the 10 features. Using the tenfold cross-validation, a vertical line was drawn at the selected value and nine non-zero coefficients are shown

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