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Found 10 papers, 3 papers with code
Automatic Speech-Based Checklist for Medical Simulations
Medical simulators provide a controlled environment for training and assessing clinical skills.
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers
In this paper, we introduce VoteCut, an innovative method for unsupervised object discovery that leverages feature representations from multiple self-supervised models.
Depth Over RGB: Automatic Evaluation of Open Surgery Skills Using Depth Camera
We focused on hand and tool detection, and action segmentation in suturing procedures.
SFGANS Self-supervised Future Generator for human ActioN Segmentation
The ability to locate and classify action segments in long untrimmed video is of particular interest to many applications such as autonomous cars, robotics and healthcare applications.
More Than Meets the Eye: Analyzing Anesthesiologists' Visual Attention in the Operating Room Using Deep Learning Models
Patient's vital signs, which are displayed on monitors, make the anesthesiologist's visual attention (VA) a key component in the safe management of patients under general anesthesia; moreover, the distribution of said VA and the ability to acquire specific cues throughout the anesthetic, may have a direct impact on patient's outcome.
Kinematic Data-Based Action Segmentation for Surgical Applications
Action segmentation is a challenging task in high-level process analysis, typically performed on video or kinematic data obtained from various sensors.
Using Hand Pose Estimation To Automate Open Surgery Training Feedback
Conclusion: This research demonstrates the benefit of pose estimations for open surgery by analyzing their effectiveness in gesture segmentation and skill assessment.
Bounded Future MS-TCN++ for surgical gesture recognition
Our goal in this study was to learn the performance-delay trade-off and design an MS-TCN++-based algorithm that can utilize this trade-off.
Open surgery tool classification and hand utilization using a multi-camera system
A Top-view and a Close-up cameras were used.
Video-based fully automatic assessment of open surgery suturing skills
The YOLO network has been modified to a multi-task network, for the purpose of tool localization and tool-hand interaction detection.
