A systematic analysis and review of COVID-19 detection techniques using CT image-Reference-Cited by-同舟云学术

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A systematic analysis and review of COVID-19 detection techniques using CT image

Published:2023-06-08 Issue:6 Volume:11 Page:2092-2105
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Ameera Beegom J.¹,Brindha T.²

Affiliation:

1. Computer Science and Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, Thuckalay, Kanyakumari Dist, Tamil Nadu, India

2. Department of Information Technology, Noorul Islam Centre for Higher Education, Kumaracoil, Thuckalay, Kanyakumari Dist, Tamil Nadu, India

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2219750

Reference54 articles.

1. Two-Stage Deep Learning Framework for Discrimination between COVID-19 and Community-Acquired Pneumonia from Chest CT scans

2. Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices

3. A novel framework for rapid diagnosis of COVID-19 on computed tomography scans

4. Automatic classification of severity of COVID ‐19 patients using texture feature and random forest based on computed tomography images

5. A fused lightweight CNN model for the diagnosis of COVID-19 using CT scan images

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