Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images-Reference-Cited by-同舟云学术

Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images

Published:2022 Issue: Volume: Page:1-13
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Zhu Qi¹^ORCID,Zhou Yuze¹,Yao Yuan¹,Sun Liang¹^ORCID,Shi Feng²^ORCID,Shao Wei¹^ORCID,Zhang Daoqiang¹^ORCID,Shen Dinggang³^ORCID

Affiliation:

1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China

3. School of Biomedical Engineering, ShanghaiTech University, Shanghai, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Key Research and Development Plan of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications

Link

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