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.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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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: |
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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: | 10.1016/j.gie.2019.03.508 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:147996 |
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