SMRVIS: Point cloud extraction from 3-D ultrasound for non-destructive testing

We propose to formulate point cloud extraction from ultrasound volumes as an image segmentation problem. Through this convenient formulation, a quick prototype exploring various variants of the U-Net architecture was developed and evaluated. This report documents the experimental results compiled using a training dataset of 5 labelled ultrasound volumes and 84 unlabelled volumes that got completed in a two-week period as part of a challenge submission to an open challenge entitled ``Deep Learning in Ultrasound Image Analysis''. Source code is shared with the research community at this GitHub URL \url{https://github.com/lisatwyw/smrvis}.