Fig. 5.

The CNN used in the study. There are one convolutional, one max-pooling, and one dense layer for each input, where the weights are shared. After the two streams are concatenated, an additional dense layer and a final softmax layer are used to obtain lesion likelihood values ($L$) for each candidate.