1. Flowcharts of radiomics features modelling process. The handcrafted radiomics features were extracted from the manually segmented region of interest. A rectangle containing maximum cross-sectional tumor area was cropped and resized to a fixed size. Deep features were extracted from a generated RGB image after inputting into pre-trained convolutional neural network model. Then both deep and handcrafted features were performed feature selection for radiomics signatures and model building. CT, computed tomography; CNN, convolutional neural network.