Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy

Ali, S orcid.org/0000-0003-1313-3542, Dmitrieva, M, Ghatwary, N et al. (34 more authors) (2021) Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. Medical Image Analysis, 70. 102002. ISSN 1361-8415

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Ali, S ORCID logo https://orcid.org/0000-0003-1313-3542
  • Dmitrieva, M
  • Ghatwary, N
  • Bano, S
  • Polat, G
  • Temizel, A
  • Krenzer, A
  • Hekalo, A
  • Guo, YB
  • Matuszewski, B
  • Gridach, M
  • Voiculescu, I
  • Yoganand, V
  • Chavan, A
  • Raj, A
  • Nguyen, NT
  • Tran, DQ
  • Huynh, LD
  • Boutry, N
  • Rezvy, S
  • Chen, H
  • Choi, YH
  • Subramanian, A
  • Balasubramanian, V
  • Gao, XW
  • Hu, H
  • Liao, Y
  • Stoyanov, D
  • Daul, C
  • Realdon, S
  • Cannizzaro, R
  • Lamarque, D
  • Tran-Nguyen, T
  • Bailey, A
  • Braden, B
  • East, JE
  • Rittscher, J
Copyright, Publisher and Additional Information:

© 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Keywords: Endoscopy; Challenge; Artefact; Disease; Detection; Segmentation; Gastroenterology; Deep learning
Dates:
  • Published: May 2021
  • Published (online): 17 February 2021
  • Accepted: 11 February 2021
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: 02 Sep 2022 15:47
Last Modified: 02 Sep 2022 15:47
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.media.2021.102002
Related URLs:
Open Archives Initiative ID (OAI ID):

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