Search Results for author:
Found 6 papers, 1 papers with code
SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge
Surgical tool segmentation and action recognition are fundamental building blocks in many computer-assisted intervention applications, ranging from surgical skills assessment to decision support systems.
ASPnet: Action Segmentation With Shared-Private Representation of Multiple Data Sources
Most state-of-the-art methods for action segmentation are based on single input modalities or naive fusion of multiple data sources.
Ranked #1 on
Action Segmentation
on 50 Salads
(using extra training data)
Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge
Surgical data science is revolutionizing minimally invasive surgery by enabling context-aware applications.
Gesture Recognition in Robotic Surgery: a Review
This paper reviews the state-of-the-art in methods for automatic recognition of fine-grained gestures in robotic surgery focusing on recent data-driven approaches and outlines the open questions and future research directions.
Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction
Surgical gesture recognition is important for surgical data science and computer-aided intervention.
Weakly Supervised Recognition of Surgical Gestures
Hence, the potential of weak supervision could be to improve unsupervised learning while avoiding manual annotation of large datasets.
