Catheter segmentation in X-ray fluoroscopy using synthetic data and transfer learning with light U-nets

Gherardini, M, Mazomenos, E orcid.org/0000-0003-0357-5996, Menciassi, A et al. (1 more author) (2020) Catheter segmentation in X-ray fluoroscopy using synthetic data and transfer learning with light U-nets. Computer Methods and Programs in Biomedicine, 192. 105420. ISSN 0169-2607

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Authors/Creators:
Copyright, Publisher and Additional Information: © 020 The Authors. Published by Elsevier B.V. This is an open access article under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Keywords: Catheter segmentation; Deep learning; Fluoroscopy; Transfer learning
Dates:
  • Published: August 2020
  • Accepted: 26 February 2020
  • Published (online): 29 February 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 11 May 2020 13:20
Last Modified: 11 May 2020 13:20
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.cmpb.2020.105420

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