Improving Temporal Stability and Accuracy for Endoscopic Video Tissue Classification Using Recurrent Neural Networks

Improving Temporal Stability and Accuracy for Endoscopic Video Tissue Classification Using Recurrent Neural Networks

Early Barrett’s neoplasia are often missed due to subtle visual features and inexperience of the non-expert endoscopist with such lesions. While promising results have been reported on the automated detection of this type of early cancer in still endoscopic images, video-based detection using the te...

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Bibliographic Details
Main Authors: Tim Boers, Joost van der Putten, Maarten Struyvenberg, Kiki Fockens, Jelmer Jukema, Erik Schoon, Fons van der Sommen, Jacques Bergman, Peter de With
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sensors
Subjects:
Barrett neoplasia
tissue detection
recurrent neural networks
upper GI tract
Online Access:https://www.mdpi.com/1424-8220/20/15/4133

Internet

https://www.mdpi.com/1424-8220/20/15/4133

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