Fusing radiomics and deep learning features for automated classification of multi‐type pulmonary nodule

The fusion of radiomics features and deep learning neural network features can effectively enhance the overall performance of pulmonary nodule classification models while also improving the recognition of minority classes when there is a significant class imbalance.