A Convolutional Neural Network Deep Learning Model Trained on CD Ulcers Images Accurately Identifies NSAID Ulcers

A Convolutional Neural Network Deep Learning Model Trained on CD Ulcers Images Accurately Identifies NSAID Ulcers

Background and Study Aims: Deep learning (DL) for video capsule endoscopy (VCE) is an emerging research field. It has shown high accuracy for the detection of Crohn's disease (CD) ulcers. Non-steroidal anti-inflammatory drugs (NSAIDS) are commonly used medications. In the small bowel, NSAIDs ma...

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Bibliographic Details
Main Authors: Eyal Klang, Uri Kopylov, Brynjulf Mortensen, Anders Damholt, Shelly Soffer, Yiftach Barash, Eli Konen, Ana Grinman, Reuma Margalit Yehuda, Martin Buckley, Fergus Shanahan, Rami Eliakim, Shomron Ben-Horin
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Medicine
Subjects:
deep learning
capsule endoscopy
Crohn disease
anti-inflammatory agents
non-steroidal
NSAID
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.656493/full

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