Fig. 2.

Visual representation of neural network annotations and outputs. A AP portable CXR with left lower lobe airspace opacities scored a 4/10 by the dCNN. EKG leads overlie the chest bilaterally. B Upright portable AP view CXR with bilateral airspace opacities scored an 8/10 by the dCNN. Dual chamber pacemaker with atrial and ventricular leads overlies the left chest. C dCNNs architecture used for classification and detection of airspace opacities. A ResNet backbone for the image anatomy feeds forward into a voxel feature pyramid which is then forwarded to a convolutional network-based detector for classification of the airspace opacity. A detailed description of the architecture can be found in the materials and methods under Deep Convolutional Neural Network Algorithm