Convolutional‐capsule network for gastrointestinal endoscopy image classification-Reference-Cited by-同舟云学术

Convolutional‐capsule network for gastrointestinal endoscopy image classification

Published:2022-01-14 Issue:9 Volume:37 Page:5796-5815
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Wang Wei¹^ORCID,Yang Xin²^ORCID,Li Xin³⁴,Tang Jinhui¹^ORCID

Affiliation:

1. School of Computer Science and Engineering, Nanjing University of Science and Technology Nanjing Jiangsu China

2. School of Electronic Information and Communications, Huazhong University of Science and Technology Wuhan Hubei China

3. Department of Radiology Union Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan Hubei China

4. Hubei Province Key Laboratory of Molecular Imaging Wuhan Hubei China

Publisher

Hindawi Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22815

Reference52 articles.

1. Burden of Digestive Diseases in the United States Part I: Overall and Upper Gastrointestinal Diseases

2. Changing trends in gastrointestinal disease in the Asia–Pacific region

3. Deep Residual Learning for Image Recognition

4. Densely Connected Convolutional Networks

5. SabourS FrosstN HintonGE. Dynamic routing between capsules. In:Advances in neural information processing systems. Vol 30. Curran Associates Inc.;2017:3859‐3869.

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