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Found 11 papers, 5 papers with code
Real-time Virtual Intraoperative CT for Image Guided Surgery
Purpose: This paper presents a scheme for generating virtual intraoperative CT scans in order to improve surgical completeness in Endoscopic Sinus Surgeries (ESS).
Real-time Informative Surgical Skill Assessment with Gaussian Process Learning
Different with classical surgical skill assessment algorithms, the proposed method 1) utilizes the kinematic features in surgical instrument relative movements, instead of using specific surgical tasks or the statistics to assess skills in real-time; 2) provide informative feedback, instead of a summative scores; 3) has the ability to incrementally learn from new data, instead of depending on a fixed dataset.
Reducing Annotating Load: Active Learning with Synthetic Images in Surgical Instrument Segmentation
Motivated by alleviating this workload, we propose a general embeddable method to decrease the usage of labeled real images, using active generated synthetic images.
Multi-frame Feature Aggregation for Real-time Instrument Segmentation in Endoscopic Video
However, the high computation cost may limit the application of deep models to time-sensitive tasks such as online surgical video analysis for robotic-assisted surgery.
LC-GAN: Image-to-image Translation Based on Generative Adversarial Network for Endoscopic Images
For live image segmentation, we first translate the live images to fake-cadaveric images with LC-GAN and then perform segmentation on the fake-cadaveric images with models trained on the real cadaveric dataset.
Towards Better Surgical Instrument Segmentation in Endoscopic Vision: Multi-Angle Feature Aggregation and Contour Supervision
Accurate and real-time surgical instrument segmentation is important in the endoscopic vision of robot-assisted surgery, and significant challenges are posed by frequent instrument-tissue contacts and continuous change of observation perspective.
Real-time Data Driven Precision Estimator for RAVEN-II Surgical Robot End Effector Position
Surgical robots have been introduced to operating rooms over the past few decades due to their high sensitivity, small size, and remote controllability.
Hidden Markov Models derived from Behavior Trees
Behavior trees are rapidly attracting interest in robotics and human task-related motion tracking.
Behavior Trees as a Representation for Medical Procedures
Discussion and Conclusion: Behavior Trees thus form a useful, and human authorable/readable bridge between clinical practice guidelines and AI systems.
IKBT: solving closed-form Inverse Kinematics with Behavior Tree
Existing software packages for inverse kinematics often rely on numerical methods which have significant shortcomings.
Simulation Results on Selector Adaptation in Behavior Trees
The "Selector" node of a BT tries alternative strategies (its children) and returns success only if all of its children return failure.
Robotics
