Deep Model-Based Semi-Supervised Learning Way for Outlier Detection in Wireless Capsule Endoscopy Images

Deep Model-Based Semi-Supervised Learning Way for Outlier Detection in Wireless Capsule Endoscopy Images

Wireless capsule endoscopy (WCE) has become an irreplaceable tool for diagnosing small intestinal diseases, and detecting the outliers in WCE images automatically remains as a hot research topic. Considering the difficulties in obtaining sufficient labeled WCE data, it is necessary to develop the di...

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Bibliographic Details
Main Authors: Yan Gao, Weining Lu, Xiaobei Si, Yu Lan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
long short term memory network
outlier detection
semi-supervised
wireless capsule endoscopy
Online Access:https://ieeexplore.ieee.org/document/9079823/

Internet

https://ieeexplore.ieee.org/document/9079823/

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