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Fig. 6 | Breast Cancer Research

Fig. 6

From: Digital image analysis and machine learning-assisted prediction of neoadjuvant chemotherapy response in triple-negative breast cancer

Fig. 6

Patient-level NAC response prediction performance of the best classifier by LOO-CV in the model development cohort. A Confusion matrix showing performance of the rbfSVM model. B ROC curve of the best NAC response prediction pipeline. Abbreviations: LOO-CV, leave-one-out cross-validation; rbfSVM, radial basis function SVM; ROC, receiver operating characteristic; TN, true negative; FP, false positive; FN, false negative

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