A Fog Computing-based System to Identify SARS - CoV -2 Using Deep Learning
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Authors
Welhenge, Anuradhi
Date
2021Type
Conference Paper
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Welhenge, A. 2021. A Fog Computing-based System to Identify SARS - CoV -2 Using Deep Learning. In 23rd PARIS International Conference on Advances in Science, Engineering and Waste Management, 7 - 9 Dec 2021. Paris, France.
Source Conference
23rd PARIS International Conference on Advances in Science, Engineering and Waste Management
Faculty
Faculty of Science and Engineering
School
School of Elec Eng, Comp and Math Sci (EECMS)
Collection
Abstract
SARS-CoV-2 has spread all over the world starting from 2019. One of the reasons for this widespread is because detection procedures were not in place. Another reason is that the detection methods like Polymerase Chain Reaction (PCR) test and antigen test are not fast enough and not accurate enough. Another method of detection of the disease is to use medical imaging. Ultrasounds have proven to have good accuracy over X ray scans and therefore, ultrasound images are used in this study to detect Covid 19 patients. For this purpose, a fog computing based deep learning technique is introduced which can be easily implemented in hospitals. This study achieved good accuracy.