Fig. 2

The relation between the feature extraction network and the kinetic model network (pointwise neural network). We obtained each frame’s feature maps using U-Net. All 220 feature maps were then input into a pointwise neural network, which was implemented by a stack of convolutions with a kernel size of 1. Therefore, each voxel was a 220-dim vector that was fed into the kinetic model network