Towards Surgical Context Inference and Translation to Gestures
Author:
Affiliation:
1. University of Virginia,Department of Electrical and Computer Engineering,Charlottesville,VA,USA,22903
2. University of Virginia,Department of Computer Science,Charlottesville,VA,USA,22903
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160211/10160212/10160383.pdf?arnumber=10160383
Reference47 articles.
1. Gesture Recognition in Robotic Surgery: A Review
2. Ternausnet: U-net with vgg11 encoder pre-trained on imagenet for image segmentation;iglovikov;ArXiv Preprint,2018
3. Jhu-isi gesture and skill assessment working set (jigsaws): A surgical activity dataset for human motion modeling;gao;MICCAI Workshop M2CAI,0
4. U-net: Convolutional networks for biomedical image segmentation;ronneberger;Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015 18th International Conference,2015
5. Data-Derived Models for Segmentation with Application to Surgical Assessment and Training
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1. Robotic Scene Segmentation with Memory Network for Runtime Surgical Context Inference;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01
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