Gesture Recognition in Robotic Surgery With Multimodal Attention-Reference-Cited by-同舟云学术

Gesture Recognition in Robotic Surgery With Multimodal Attention

Published:2022-07 Issue:7 Volume:41 Page:1677-1687
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

van Amsterdam Beatrice¹^ORCID,Funke Isabel²^ORCID,Edwards Eddie¹,Speidel Stefanie²^ORCID,Collins Justin³,Sridhar Ashwin³^ORCID,Kelly John³,Clarkson Matthew J.¹^ORCID,Stoyanov Danail¹^ORCID

Affiliation:

1. Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University CollegeLondon, London, U.K.

2. Division of Translational Surgical Oncology, National Center for Tumor Diseases (NCT), Partner Site Dresden, Dresden, Germany

3. Department of Uro-oncology, University College London Hospital NHS Foundation Trust, London, U.K

Funder

Wellcome/EPSRC Centre for Interventional and Surgical Sciences

Engineering and Physical Sciences Research Council

Royal Academy of Engineering Chair in Emerging Technologies Scheme

EPSRC Centre for Doctoral Training in Intelligent, Integrated Imaging In Healthcare

German Research Foundation

Germany’s Excellence Strategy—EXC 2050/1

Cluster of Excellence “Centre for Tactile Internet with Human-in-the-Loop”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/9811094/09701436.pdf?arnumber=9701436

Reference45 articles.

1. Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction

2. The Intuitive/sup TM/ telesurgery system: overview and application

3. A Fast Unsupervised Approach for Multi-Modality Surgical Trajectory Segmentation

4. TSC-DL: Unsupervised trajectory segmentation of multi-modal surgical demonstrations with Deep Learning

5. Joint surgical gesture and task classification with multi-task and multimodal learning;sarikaya;arXiv 1805 00721,2018

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