Fig. 1

Illustrations of the key steps in the imaging feature analysis process. First, primary cervical tumor and involved lymph node were segmented. Second, imaging features were extracted from each region of interest. Third, random survival forest models were built to predict survival outcomes, after the feature clustering and selection process in the training dataset. Fourth, the generated models were tested in the validation dataset