Multi-Modal COVID-19 Discovery With Collaborative Federated Learning-Reference-Cited by-同舟云学术

Multi-Modal COVID-19 Discovery With Collaborative Federated Learning

Published:2021-11-07 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS)
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Author:

Chen Xiaomeng¹,Shao Yingxia²,Xue Zhe²,Yu Ziqiang¹

Affiliation:

1. Yantai University,School of Computer and Control Engineering,Shandong,China,264005

2. Beijing University of Posts and Telecommunications,School of Computer Science,Beijing,100876

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9754526/9754527/09754623.pdf?arnumber=9754623

Reference22 articles.

1. Codeless Deep Learning of COVID-19 Chest X-Ray Image Dataset with KNIME Analytics Platform;jun young;Healthcare Informatics Research,2021

2. Neural network powered COVID-19 spread forecasting model

3. Targeted Self Supervision For Classification On A Small Covid-19 Ct Scan Dataset;ewen;2021 IEEE 18th International Symposium on Biomedical Imaging,2020

4. POCOVID-Net: automatic detection of COVID-19 from a new lung ultrasound imaging dataset (POCUS);born,2020

5. COVID- 19 Image Data Collection: Prospective Predictions Are the Future;cohen;arXiv 2006 11988,2020

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