Deep feature enhancement and Xgboost network for multi‐organ classification-Reference-Cited by-同舟云学术

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Deep feature enhancement and Xgboost network for multi‐organ classification

Published:2022-06-10 Issue:6 Volume:32 Page:1928-1940
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Tech

Author:

Yang Qing¹^ORCID,Yan Qingyuan²^ORCID,Zhang Wuxia²^ORCID,Hao Mayang²^ORCID,Chen Hao²^ORCID

Affiliation:

1. School of Sport and Health Sciences Xi'an Physical Education University Xi'an China

2. School of Computer Science and technology Xi'an University of Posts and Telecommunications Xi'an China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22766

Reference35 articles.

1. Application research of endoscopic case bank system in clinical probation of ENT;Sun XG;Gen J Stomatol,2018

2. Analysis of the application value of electronic rhinopharyngoscope in the treatment of otolaryngology diseases;Wang H;China Foreign Med Treat,2018

3. Very deep convolutional networks for large‐scale image recognition;Simonyan K;CoRR,2015

4. Deep Residual Learning for Image Recognition

5. Densely Connected Convolutional Networks

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