Research in the field of medical image is an important part of the medical robot to operate
human organs. A medical robot is the intersection of multi-disciplinary research fields, in …

As computer vision algorithms increase in capability, their applications in clinical systems
will become more pervasive. These applications include: diagnostics, such as colonoscopy …

Reconstruction of the soft tissues in robotic surgery from endoscopic stereo videos is
important for many applications such as intra-operative navigation and image-guided robotic …

Minimally invasive robotic interventions have highlighted the need to develop efficient
techniques to measure forces applied to the soft tissues. Since the last decade, many …

Reconstructing the scene of robotic surgery from the stereo endoscopic video is an
important and promising topic in surgical data science, which potentially supports many …

Surgical robots rely on robust and efficient computer vision algorithms to be able to
intervene in real-time. The main problem, however, is that the training or testing of such …

Autonomous robotic surgery has seen significant progression over the last decade with the
aims of reducing surgeon fatigue, improving procedural consistency, and perhaps one day …

Monocular depth estimation, as one of the fundamental tasks of computer vision, plays a
crucial role in three-dimensional (3D) scene understanding and perception. Usually, deep …

This paper is a comprehensive survey of datasets for surgical tool detection and related
surgical data science and machine learning techniques and algorithms. The survey offers a …

Recent advances in robot-assisted surgery have resulted in progressively more precise,
efficient, and minimally invasive procedures, sparking a new era of robotic surgical …