Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution

Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution

Introduction: Deep learning models can assess the quality of images and discriminate among abnormalities in small bowel capsule endoscopy (CE), reducing fatigue and the time needed for diagnosis. They serve as a decision support system, partially automating the diagnosis process by providing probabi...

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Bibliographic Details
Main Authors: Bochao Jiang, Michael Dorosan, Justin Wen Hao Leong, Marcus Eng Hock Ong, Sean Shao Wei Lam, Tiing Leong Ang
Format: Article
Language:English
Published: Wolters Kluwer – Medknow Publications 2024-03-01
Series:Singapore Medical Journal
Subjects:
capsule endoscopy
detection
diagnosis
machine learning
Online Access:https://journals.lww.com/10.4103/singaporemedj.SMJ-2023-187
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