Figure 2 The boundary visualization model was used to localize nodule boundaries during the prediction of neural networks, with sketches of the global average pooling (A) and fully connected layer (B). The visualized reverse calculation result from global average pooling was rough. On the contrary, through the fully connection layer, we made full use of all the data from the feature map to reduce the loss of information, and obtained finer visualization results.