<p>Of an order of 330 million surgeries are performed worldwide every year. Yet there is a backlog of around 150 million pending surgeries annually. Surgical robotics is becoming a lot more sophisticated by the day. Much of this increasing success is due to advances in Computer Vision (CV) . CV allows the tracking of tools, detection of organs, and a description of the phase of surgery that enables a surgeon to perform the delicate art of surgery with much greater precision and efficiency. These advancements have also enabled remote robotic surgery in which a patient and the surgeon can be far apart from each other geographically.</p>
<p>In this paper, we report promising results of evolving the architecture of capsule networks for tool classification for Computer-Aided Laparoscopy (CAL).</p>