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Autonomous robotic endoscope control based on semantically rich instructions

In keyhole interventions, surgeons rely on a colleague to act as a camera assistant when their hands are occupied with surgical instruments. This often leads to reduced image stability, increased task completion times and sometimes errors. Robotic …

Deep homography estimation in dynamic surgical scenes for laparoscopic camera motion extraction

Current laparoscopic camera motion automation relies on rule-based approaches or only focuses on surgical tools. Imitation Learning (IL) methods could alleviate these shortcomings, but have so far been applied to oversimplified setups. Instead of …

Deep learning approach for hyperspectral image demosaicking, spectral correction and high-resolution RGB reconstruction

Hyperspectral imaging is one of the most promising techniques for intraoperative tissue characterisation. Snapshot mosaic cameras, which can capture hyperspectral data in a single exposure, have the potential to make a real-time hyperspectral imaging …