Towards the probabilistic analysis of small bowel capsule endoscopy features to predict severity of duodenal histology in patients with villous atrophy

Chetcuti Zammit, S., Bull, L.A. orcid.org/0000-0002-0225-5010, Sanders, D.S. et al. (4 more authors) (2020) Towards the probabilistic analysis of small bowel capsule endoscopy features to predict severity of duodenal histology in patients with villous atrophy. Journal of Medical Systems, 44 (11). 195. ISSN 0148-5598

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Copyright, Publisher and Additional Information: © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Celiac disease; Seronegative villous atrophy; Probabilistic analysis; Small bowel capsule endoscopy; Duodenal histology
Dates:
  • Accepted: 16 September 2020
  • Published (online): 2 October 2020
  • Published: November 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 20 Oct 2020 10:39
Last Modified: 20 Oct 2020 10:39
Status: Published
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: https://doi.org/10.1007/s10916-020-01657-9
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