SurgiSR4K: A High-Resolution Endoscopic Video Dataset for Robotic-Assisted Minimally Invasive Procedures
Journal:
arXiv
Published Date:
Jun 30, 2025
Abstract
High-resolution imaging is crucial for enhancing visual clarity and enabling
precise computer-assisted guidance in minimally invasive surgery (MIS). Despite
the increasing adoption of 4K endoscopic systems, there remains a significant
gap in publicly available native 4K datasets tailored specifically for
robotic-assisted MIS. We introduce SurgiSR4K, the first publicly accessible
surgical imaging and video dataset captured at a native 4K resolution,
representing realistic conditions of robotic-assisted procedures. SurgiSR4K
comprises diverse visual scenarios including specular reflections, tool
occlusions, bleeding, and soft tissue deformations, meticulously designed to
reflect common challenges faced during laparoscopic and robotic surgeries. This
dataset opens up possibilities for a broad range of computer vision tasks that
might benefit from high resolution data, such as super resolution (SR), smoke
removal, surgical instrument detection, 3D tissue reconstruction, monocular
depth estimation, instance segmentation, novel view synthesis, and
vision-language model (VLM) development. SurgiSR4K provides a robust foundation
for advancing research in high-resolution surgical imaging and fosters the
development of intelligent imaging technologies aimed at enhancing performance,
safety, and usability in image-guided robotic surgeries.
