Figure 2.

Overall architecture of the radiomics-based CNN model. The model consists of 1 input layer, 2 hidden layers, and 1 output layer. The selected radiomics features were taken as inputs, and the node numbers for 2 hidden layers were set to 20 and 10, respectively. CNN, convolutional neural network.