[PDF][PDF] Soft tissue feature tracking based on deep matching network
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 …
human organs. A medical robot is the intersection of multi-disciplinary research fields, in …
[HTML][HTML] Tracking and mapping in medical computer vision: A review
As computer vision algorithms increase in capability, their applications in clinical systems
will become more pervasive. These applications include: diagnostics, such as colonoscopy …
will become more pervasive. These applications include: diagnostics, such as colonoscopy …
Neural rendering for stereo 3d reconstruction of deformable tissues in robotic surgery
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 …
important for many applications such as intra-operative navigation and image-guided robotic …
Image-based force estimation in medical applications: A review
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 …
techniques to measure forces applied to the soft tissues. Since the last decade, many …
E-dssr: efficient dynamic surgical scene reconstruction with transformer-based stereoscopic depth perception
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 …
important and promising topic in surgical data science, which potentially supports many …
VisionBlender: a tool to efficiently generate computer vision datasets for robotic surgery
J Cartucho, S Tukra, Y Li, D S. Elson… - Computer Methods in …, 2021 - Taylor & Francis
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 …
intervene in real-time. The main problem, however, is that the training or testing of such …
Autonomous robotic suction to clear the surgical field for hemostasis using image-based blood flow detection
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 …
aims of reducing surgeon fatigue, improving procedural consistency, and perhaps one day …
CORNet: Context-based ordinal regression network for monocular depth estimation
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 …
crucial role in three-dimensional (3D) scene understanding and perception. Usually, deep …
Surgical tool datasets for machine learning research: a survey
M Rodrigues, M Mayo, P Patros - International Journal of Computer Vision, 2022 - Springer
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 …
surgical data science and machine learning techniques and algorithms. The survey offers a …
Surgical Gym: A high-performance GPU-based platform for reinforcement learning with surgical robots
S Schmidgall, A Krieger… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Recent advances in robot-assisted surgery have resulted in progressively more precise,
efficient, and minimally invasive procedures, sparking a new era of robotic surgical …
efficient, and minimally invasive procedures, sparking a new era of robotic surgical …