Fig. 4

Examples of feature maps of the last convolutional layer before the global average pooling layer and GradCAM++ visualizations of the test images. The visualized feature maps correspond to the three feature values that showed the highest SHAP values (feature_173, feature_347, and feature_1011). Label refers to the sPDA label of the test image, and Pred refers to the predicted probability of sPDA, calculated by the CNX-based feature extraction model.