A multi-centre polyp detection and segmentation dataset for generalisability assessment

Ali, S orcid.org/0000-0003-1313-3542, Jha, D, Ghatwary, N et al. (12 more authors) (2023) A multi-centre polyp detection and segmentation dataset for generalisability assessment. Scientific Data, 10. 75. ISSN 2052-4463

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Ali, S ORCID logo https://orcid.org/0000-0003-1313-3542
  • Jha, D
  • Ghatwary, N
  • Realdon, S
  • Cannizzaro, R
  • Salem, OE
  • Lamarque, D
  • Daul, C
  • Riegler, MA
  • Anonsen, KV
  • Petlund, A
  • Halvorsen, P
  • Rittscher, J
  • de Lange, T
  • East, JE
Copyright, Publisher and Additional Information:

© The Author(s) 2023. 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.

Dates:
  • Published: 6 February 2023
  • Published (online): 6 February 2023
  • Accepted: 23 January 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 21 Feb 2023 10:17
Last Modified: 21 Feb 2023 10:17
Status: Published
Publisher: Nature Research
Identification Number: 10.1038/s41597-023-01981-y
Open Archives Initiative ID (OAI ID):

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