FIGURE 2.

(a) A schematic view of the proposed segmentation method using multi‐view fully convolutional networks to segment the 3D claustrum jointly; (b) 2D Convolutional network architecture for each view (i.e., axial and coronal). It takes the raw images as input and predicts its segmentation maps. The network consists of several nonlinear computational layers in a shrinking part (left side) and an expansive part (right side) to extract semantic features of the claustrum structure