Surgical Gesture Recognition
5 papers with code • 0 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Surgical Gesture Recognition
Most implemented papers
Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification
Recognition of surgical gesture is crucial for surgical skill assessment and efficient surgery training.
Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video
However, surgical gesture recognition based only on video is a challenging problem that requires effective means to extract both visual and temporal information from the video.
Symmetric Dilated Convolution for Surgical Gesture Recognition
The experiment results demonstrate the ability of our method on capturing long-term frame dependencies, which largely outperform the state-of-the-art methods on the frame-wise accuracy up to ~6 points and the F1@50 score ~6 points.
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.
Zero-shot Prompt-based Video Encoder for Surgical Gesture Recognition
Purpose: Surgical video is an important data stream for gesture recognition.