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Fig. 1 | Thyroid Research

Fig. 1

From: Ultrasound radiomics signature for predicting central lymph node metastasis in clinically node-negative papillary thyroid microcarcinoma

Fig. 1

Radiomics feature selection using the least absolute shrinkage and selection operator (LASSO) logistic regression model. (A) Ten-fold cross-validation for tuning parameter selection in the LASSO logistic model. Solid vertical lines represent binomial deviance ± standard error. The vertical lines are drawn at the optimal values by minimum criteria and 1 - S.E. criteria. (B) LASSO coefficient profiles of the 107 radiomics features. A coefficient profile plot was produced against the log (λ) sequence. A vertical line was drawn at the value selected using ten-fold cross-validation, where optimal λ resulted in six nonzero coefficients

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Thyroid Research

ISSN: 1756-6614