Fig. 2.

Architecture and network comparison of deep learning neural network for detection of FNF. a Architecture of ResNet18 with attention module. ResNet18 is composed of 8 residual blocks, every two blocks belong to the same stage and have the same channels of output. b Diagram of CBAM +  + . The two outputs pooled along the channel axis are resized by additional pooling operations according to stage number and forwarded to a convolution layer. c the AUC of internal validation with Hospital A dataset and the number of Network parameters. The parameter number of ResNet18 with CBAM +  + is the lowest and the AUC value is the highest