Fig. 4
From: CT-based radiomics for predicting breast cancer radiotherapy side effects
Test ROC curves of the best performing models depending on the training data used for moist epitheliolysis. TBV radiomics features: LASSO classifier, with features selected by MRMR, predicting moist cells epitheliolysis. GT radiomics features: RF classifier, with features selected by MRMR, predicting moist cells epitheliolysis. Clinical baseline: LR classifier, with features selected by Spearman rank correlation, predicting moist cells epitheliolysis.
