Fig. 2From: Deep convolutional neural networks for mammography: advances, challenges and applicationsThe CNN architecture is a stack of Convolutional layer (Conv), Nonlinear layer (e.g. ReLU), Pooling layer (Pool), and a Loss function (e.g. SVM/Softmax) on the last (Fully connected) layer. The output can be a single class (e.g. Normal, Benign, Malignant)Back to article page