Figure 3:

Machine learning workflow for (left) training and (right) test cohort. Data analysis framework embedded with nested stratified repeated cross validation. The inner loop was used to train and select out the optimal binary classifier based only on radiomic features, while the outer loop was used to generate different resampling splits to evaluate the generalization performance of the optimal models. PCA = principal component analysis.