Su1381 EVALUATION OF AN AUTOMATED LESION DETECTION PLATFORM FOR WIRELESS CAPSULE ENDOSCOPY: A NOVEL APPROACH UTILIZING VIDEO-BASED MACHINE LEARNING TEMPORAL RELATIONSHIPS

Rajagopalan, SS, Rice, SC, Slawinski, PR et al. (2 more authors) (2019) Su1381 EVALUATION OF AN AUTOMATED LESION DETECTION PLATFORM FOR WIRELESS CAPSULE ENDOSCOPY: A NOVEL APPROACH UTILIZING VIDEO-BASED MACHINE LEARNING TEMPORAL RELATIONSHIPS. In: Gastrointestinal Endoscopy. Digestive Disease Week ASGE 2019, 18-21 May 2019, San Diego, California. Elsevier , AB355-AB356.

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Copyright, Publisher and Additional Information: Copyright © 2019 Published by Mosby, Inc. This is an author produced version of a paper published in Gastrointestinal Endoscopy. Uploaded in accordance with the publisher's self-archiving policy.
Dates:
  • Accepted: 13 February 2019
  • Published: 3 June 2019
Institution: The University of Leeds
Academic Units: 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: 01 Jul 2019 10:38
Last Modified: 03 Jun 2020 00:38
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.gie.2019.03.508
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