Fig. 5
From: CT-based radiomics for predicting breast cancer radiotherapy side effects
Test ROC curves of the best performing model trained on a single feature set and the best performing model trained on a combined feature set. Best single feature set model: LASSO classifier trained on TBV radiomics features, selected by MRMR, predicting moist cells epitheliolysis. Best combined feature set model: LASSO classifier trained on a combination of TBV and clinical features, selected by MRMR, predicting moist cells epitheliolysis.
