Interpretable machine learning based on intratumoral and peritumoral ultrasound radiomics for predicting central lymph node metastasis in papillary thyroid carcinoma

ROI: region of interest; LNM: lymph node metastasis; RF: Random Forest; SVM: Support Vector Machine; KNN: K-Nearest Neighbors, NB: Naive Bayesian; XGB: Extreme Gradient Boosting; ROC: receiver operating characteristic; DCA: decision curve analysis; SHAP: SHapley Additive exPlanations.

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