Vessel segmentation for automatic registration of untracked laparoscopic ultrasound to CT of the liver.

We demonstrate the first instance of deep learning (DL) for the segmentation of liver vessels in LUS. Our results show the feasibility of UNet in detecting multiple vessel instances in 2D LUS images, and potentially automating a LUS to CT registration pipeline.