NSCGCN: A novel deep GCN model to diagnosis COVID-19-Reference-Cited by-同舟云学术

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NSCGCN: A novel deep GCN model to diagnosis COVID-19

Published:2022-11 Issue: Volume:150 Page:106151
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Tang Chaosheng^ORCID,Hu Chaochao^ORCID,Sun Junding,Wang Shui-Hua,Zhang Yu-Dong

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference61 articles.

1. Geneva: World Health Organization,2020

2. The screening value of RT-LAMP and RT-PCR in the diagnosis of COVID-19: systematic review and meta-analysis;Pu;J. Virol Methods,2022

3. Comparison of COVID-19 laboratory diagnosis by commercial kits: effectivity of RT-PCR to the RT-LAMP;Artik;J. Med. Virol.,2022

4. COV-DLS: prediction of COVID-19 from X-rays using enhanced deep transfer learning techniques;Kumar;Journal of Healthcare Engineering,2022

5. An end-to-end deep learning architecture for graph classification;Zhang,2018

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4. Medical image processing using graph convolutional networks: A review;Perioperative Precision Medicine;2023-06-30

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