Review on the Applications of Deep Learning in the Analysis of Gastrointestinal Endoscopy Images

Review on the Applications of Deep Learning in the Analysis of Gastrointestinal Endoscopy Images

Gastrointestinal (GI) disease is one of the most common diseases and primarily examined by GI endoscopy. Recently, deep learning (DL), in particular convolutional neural networks (CNNs) have made achievements in GI endoscopy image analysis. This review focuses on the applications of DL methods in th...

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Bibliographic Details
Main Authors: Wenju Du, Nini Rao, Dingyun Liu, Hongxiu Jiang, Chengsi Luo, Zhengwen Li, Tao Gan, Bing Zeng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Gastrointestinal disease
gastrointestinal endoscopy image
deep learning
analysis
comparison
Online Access:https://ieeexplore.ieee.org/document/8853349/

Internet

https://ieeexplore.ieee.org/document/8853349/

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