Fig. 2

The structures of DMFN and RegNet models. A DMFN model: Combines CT image features and CTC data through convolutional and fully connected layers, fusing them for multi-class classification via a softmax layer. B RegNet model: Extracts features from CT images using sequential convolutional layers with dimensionality reduction to enhance generalization and improve feature extraction efficiency