Figure 4.

General workflow of the model training process: first, the MRI data was pre-processed using 3 pre-processing methods, the most suitable pre-processed set of images was selected according to the radiomics-based model or the DL model performance on the internal test dataset, then the models were ensembled or trained separately, and finally the performance of each model was computed on the external dataset.