Machine learning based COVID -19 disease recognition using CT images of SIRM database-Reference-Cited by-同舟云学术

Machine learning based COVID -19 disease recognition using CT images of SIRM database

Published:2022-05-31 Issue:7 Volume:46 Page:590-603
ISSN:0309-1902
Container-title:Journal of Medical Engineering & Technology
language:en
Short-container-title:Journal of Medical Engineering & Technology

Author:

Pandey Saroj Kumar¹^ORCID,Janghel Rekh Ram²,Mishra Pankaj Kumar³,Kaabra Rachana³

Affiliation:

1. Department of Computer Engineering & Applications, GLA University, Mathura, India

2. Department of Information Technology, National Institute of Information Technology, Raipur, India

3. Department of Information Technology, RCET, Bhilai, India

Publisher

Informa UK Limited

Subject

Biomedical Engineering,General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/03091902.2022.2080883

Reference47 articles.

1. Severe Acute Respiratory Syndrome: Temporal Lung Changes at Thin-Section CT in 30 Patients

2. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

3. Wang Y, et al. “Abnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner.” arXiv preprint arXiv:2002.05534 2020.

4. New human coronavirus, HCoV-NL63, associated with severe lower respiratory tract disease in Australia

5. CT imaging changes of corona virus disease 2019(COVID-19): a multi-center study in Southwest China

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