Real‐time surgical tool detection with multi‐scale positional encoding and contrastive learning

Loza, G., Valdastri, P. orcid.org/0000-0002-2280-5438 and Ali, S. orcid.org/0000-0003-1313-3542 (2024) Real‐time surgical tool detection with multi‐scale positional encoding and contrastive learning. Healthcare Technology Letters, 11 (2-3). pp. 48-58. ISSN 2053-3713

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Item Type: Article
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© 2023 The Authors. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: computer vision; medical image processing; object detection; surgery
Dates:
  • Published: April 2024
  • Published (online): 7 December 2023
  • Accepted: 22 November 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence
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: 12 Jun 2024 10:23
Last Modified: 12 Jun 2024 10:23
Status: Published
Publisher: Wiley
Identification Number: 10.1049/htl2.12060
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