Fig. 2From: Adhesion-related small bowel obstruction: deep learning for automatic transition-zone detection by CTModel architecture. The 3D convolutional neural network has four convolution blocks followed by two dense layers. After the last layer, the classification score is multiplied by the spatial probability that the patch contains a transition zone, as computed on our training setBack to article page