Work

Real-Time Segmentation of Non-rigid Surgical Tools Based on Deep Learning and Tracking

Year: 2017

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-319-54057-3_8

Authors: Luis C. García-Peraza-Herrera, Wenqi Li, Caspar Gruijthuijsen, Alain Devreker, George Attilakos, Jan Deprest, Emmanuel Vander Poorten, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin

Institutions: University College London, KU Leuven, University College Hospital, Universitair Ziekenhuis Leuven

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Nvidia, Wellcome Trust, National Institute for Health and Care Research, University College London Hospitals NHS Foundation Trust, Engineering and Physical Sciences Research Council

Awards: Robotic Assisted Imaging, G1366216728, G150562299, EPSRC Centre for Doctoral Training in Medical Imaging, G1737639950, G2408009129, Intelligent Imaging: Motion, Form and Function Across Scale, Computational models of neurodegenerative disease progression, Dynamic Peri-operative Cerenkov Luminescence Imaging for Robotic Assisted Surgery (EDCLIRS), G5123081433, Image guided surgery through spatio-temporal signal amplification, G8650869886

OpenAlex ID: W2587548977

FWCI: 4.097

Cites: 26

Cited by: 112

Related to: 10