A Fog Computing-based System to Identify SARS - CoV -2 Using Deep Learning
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....
| Main Author: | |
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| Format: | Conference Paper |
| Published: |
2021
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| Online Access: | http://hdl.handle.net/20.500.11937/95411 |
| _version_ | 1848766007565352960 |
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| author | Welhenge, Anuradhi |
| author_facet | Welhenge, Anuradhi |
| author_sort | Welhenge, Anuradhi |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T11:44:18Z |
| format | Conference Paper |
| id | curtin-20.500.11937-95411 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:44:18Z |
| publishDate | 2021 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-954112024-08-13T02:43:01Z A Fog Computing-based System to Identify SARS - CoV -2 Using Deep Learning Welhenge, Anuradhi 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. 2021 Conference Paper http://hdl.handle.net/20.500.11937/95411 restricted |
| spellingShingle | Welhenge, Anuradhi A Fog Computing-based System to Identify SARS - CoV -2 Using Deep Learning |
| title | A Fog Computing-based System to Identify SARS - CoV -2 Using Deep Learning |
| title_full | A Fog Computing-based System to Identify SARS - CoV -2 Using Deep Learning |
| title_fullStr | A Fog Computing-based System to Identify SARS - CoV -2 Using Deep Learning |
| title_full_unstemmed | A Fog Computing-based System to Identify SARS - CoV -2 Using Deep Learning |
| title_short | A Fog Computing-based System to Identify SARS - CoV -2 Using Deep Learning |
| title_sort | fog computing-based system to identify sars - cov -2 using deep learning |
| url | http://hdl.handle.net/20.500.11937/95411 |