Centralized and Federated Learning for COVID-19 Detection With Chest X-Ray Images: Implementations and Analysis-Reference-Cited by-同舟云学术

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Centralized and Federated Learning for COVID-19 Detection With Chest X-Ray Images: Implementations and Analysis

Published:2024-08 Issue:4 Volume:8 Page:2987-3000
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Naz Sadaf¹^ORCID,Phan Khoa¹^ORCID,Chen Yi-Ping Phoebe¹^ORCID

Affiliation:

1. Department of Computer Science and Information Technology, La Trobe University, Bundoora, VIC, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7433297/10607834/10480426.pdf?arnumber=10480426

Reference53 articles.

1. Recent advances and challenges of RT-PCR tests for the diagnosis of COVID-19

2. Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19

3. A comprehensive review of federated learning for COVID‐19 detection

4. Early triage of critically ill COVID-19 patients using deep learning

5. Digital Transformation in Health Care: Augmented Reality for Hands-Free Service Innovation

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