Papers Surgical Gesture Recognition
“Surgical Gesture Recognition” 태그가 달린 논문 14편 · 필터 해제
Zero-shot Prompt-based Video Encoder for Surgical Gesture Recognition
Purpose: In order to produce a surgical gesture recognition system that can support a wide variety of procedures, either a very large annotated dataset must be acquired, or fitted models must generalize to new labels (so…
Gesture RecognitionSurgical Gesture RecognitionBounded Future MS-TCN++ for surgical gesture recognition
In recent times there is a growing development of video based applications for surgical purposes. Part of these applications can work offline after the end of the procedure, other applications must react immediately. How…
Gesture RecognitionSurgical Gesture RecognitionSurgical Gesture Recognition Based on Bidirectional Multi-Layer Independently RNN with Explainable Spatial Feature Extraction
Minimally invasive surgery mainly consists of a series of sub-tasks, which can be decomposed into basic gestures or contexts. As a prerequisite of autonomic operation, surgical gesture recognition can assist motion plann…
Decision MakingGesture RecognitionMotion PlanningSurgical Gesture RecognitionMIcro-Surgical Anastomose Workflow recognition challenge report
The "MIcro-Surgical Anastomose Workflow recognition on training sessions" (MISAW) challenge provided a data set of 27 sequences of micro-surgical anastomosis on artificial blood vessels. This data set was composed of vid…
Activity RecognitionManagementSurgical Gesture RecognitionDomain Adaptive Robotic Gesture Recognition with Unsupervised Kinematic-Visual Data Alignment
Automated surgical gesture recognition is of great importance in robot-assisted minimally invasive surgery. However, existing methods assume that training and testing data are from the same domain, which suffers from sev…
Domain AdaptationGesture RecognitionSurgical Gesture RecognitionUnsupervised Domain AdaptationGesture Recognition in Robotic Surgery: a Review
Objective: Surgical activity recognition is a fundamental step in computer-assisted interventions. This paper reviews the state-of-the-art in methods for automatic recognition of fine-grained gestures in robotic surgery …
Activity RecognitionArticlesData IntegrationGesture Recognition+3Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery
Automatic surgical gesture recognition is fundamentally important to enable intelligent cognitive assistance in robotic surgery. With recent advancement in robot-assisted minimally invasive surgery, rich information incl…
Action SegmentationGesture RecognitionGraph LearningSurgical Gesture RecognitionSymmetric Dilated Convolution for Surgical Gesture Recognition
Automatic surgical gesture recognition is a prerequisite of intra-operative computer assistance and objective surgical skill assessment. Prior works either require additional sensors to collect kinematics data or have li…
Gesture RecognitionSurgical Gesture RecognitionMulti-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction
Surgical gesture recognition is important for surgical data science and computer-aided intervention. Even with robotic kinematic information, automatically segmenting surgical steps presents numerous challenges because s…
Gesture RecognitionSurgical Gesture RecognitionAutomatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search
Automatic surgical gesture recognition is fundamental for improving intelligence in robot-assisted surgery, such as conducting complicated tasks of surgery surveillance and skill evaluation. However, current methods trea…
Action SegmentationGesture Recognitionreinforcement-learningReinforcement Learning+2Towards Generalizable Surgical Activity Recognition Using Spatial Temporal Graph Convolutional Networks
Modeling and recognition of surgical activities poses an interesting research problem. Although a number of recent works studied automatic recognition of surgical activities, generalizability of these works across differ…
Activity RecognitionGesture RecognitionSurgical Gesture RecognitionUsing 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video
Automatically recognizing surgical gestures is a crucial step towards a thorough understanding of surgical skill. Possible areas of application include automatic skill assessment, intra-operative monitoring of critical s…
Gesture RecognitionSurgical Gesture RecognitionSurgical Gesture Recognition with Optical Flow only
In this paper, we address the open research problem of surgical gesture recognition using motion cues from video data only. We adapt Optical flow ConvNets initially proposed by Simonyan et al.. While Simonyan uses both R…
Gesture RecognitionOptical Flow EstimationSurgical Gesture RecognitionDeep Reinforcement Learning for Surgical Gesture Segmentation and Classification
Recognition of surgical gesture is crucial for surgical skill assessment and efficient surgery training. Prior works on this task are based on either variant graphical models such as HMMs and CRFs, or deep learning model…
Action SegmentationClassificationDecision MakingDeep Reinforcement Learning+7