Adaptive Localizing Region-Based Level Set for Segmentation of Maxillary Sinus Based on Convolutional Neural Networks

Figure 3

CNN architecture. The input is an image of a point’s local region. Two convolutional components include a filter and max pooling. Three fully connected layers contain 1600, 500, and 2 nodes, respectively.