Fig. 7From: Shallow and deep learning classifiers in medical image analysisExample of convolutional neural network architecture. The input images are fed into the convolutional and pooling layers for feature extraction. In the end, the resulting flattened feature vector is fed into the dense layer to perform the classification taskBack to article page