Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy

Solano, P.E.C. orcid.org/0000-0001-7689-052X, Bulpitt, A. orcid.org/0000-0002-7905-4540, Subramanian, V. orcid.org/0000-0003-3603-0861 et al. (1 more author) (2024) Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy. Medical Image Analysis. 103379. ISSN 1361-8415

Abstract

Metadata

Item Type: Article
Authors/Creators:
Keywords: Deep learning; Monocular depth estimation; Surface normal prediction; Multi-task learning; Cross-task consistency; 3D colonoscopy
Dates:
  • Published (online): 4 November 2024
  • Accepted: 22 October 2024
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 Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Medical Research (LIMR) > Division of Gastroenterology and Surgery
Funding Information:
Funder
Grant number
Crohns and Colitis UK
M2023-5 SAUBRAMANIAN
Depositing User: Symplectic Publications
Date Deposited: 07 Nov 2024 16:42
Last Modified: 07 Nov 2024 16:42
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.media.2024.103379
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Open Archives Initiative ID (OAI ID):

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