An Assessment of Covid19 Using CNN Architecture-Reference-Cited by-同舟云学术

An Assessment of Covid19 Using CNN Architecture

Published:2023-05-09 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference on Intelligent Engineering and Management (ICIEM)
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Author:

Shrivastava Anurag¹,Boina Roja,Verma Devvret²,Kumar Yogendra³,Kumar Indradeep⁴,Rao Annam Takshitha⁵

Affiliation:

1. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Chennai,Tamilnadu,India

2. Graphic Era Deemed to be University,Department of Biotechnology,Dehradun,Uttarakhand,India,248002

3. GLA University,Department of Electrical Engineering,Mathura

4. Institute of Aeronautical Engineering,Department of Aeronautical Engineering,Hyderabad,Telangana

5. Symbiosis Institute of Technology SIT,Department of Computer Science and Engineering,Pune

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10164834/10165689/10166878.pdf?arnumber=10166878

Reference37 articles.

1. Covid-19: Automatic detection from X-rayimages utilizing transfer learning with convolutional neural networks;ioannis;Phys Eng Sci Med,2020

2. Heterogeneous sensor data fusion acquisition model for medical applications;jyoti;Measurement Sensors,2022

3. Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images

4. Recurrent neural model to analyze the effect of physical training and treatment in relation to sports injuries;jyoti a;Computational Intelligence and Neuroscience,2022

5. From community-acquired pneumonia to COVID-19: a deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans