Transfer Learning for the Detection and Diagnosis of Types of Pneumonia including Pneumonia Induced by COVID-19 from Chest X-ray Images
Accurate early diagnosis of COVID-19 viral pneumonia, primarily in asymptomatic people, is essential to reduce the spread of the disease, the burden on healthcare capacity, and the overall death rate. It is essential to design affordable and accessible solutions to distinguish pneumonia caused by CO...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Diagnostics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4418/11/8/1480 |
| _version_ | 1797524183571234816 |
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| author | Yusuf Brima Marcellin Atemkeng Stive Tankio Djiokap Jaures Ebiele Franklin Tchakounté |
| author_facet | Yusuf Brima Marcellin Atemkeng Stive Tankio Djiokap Jaures Ebiele Franklin Tchakounté |
| author_sort | Yusuf Brima |
| collection | DOAJ |
| description | Accurate early diagnosis of COVID-19 viral pneumonia, primarily in asymptomatic people, is essential to reduce the spread of the disease, the burden on healthcare capacity, and the overall death rate. It is essential to design affordable and accessible solutions to distinguish pneumonia caused by COVID-19 from other types of pneumonia. In this work, we propose a reliable approach based on deep transfer learning that requires few computations and converges faster. Experimental results demonstrate that our proposed framework for transfer learning is a potential and effective approach to detect and diagnose types of pneumonia from chest X-ray images with a test accuracy of 94.0%. |
| first_indexed | 2024-03-10T08:52:47Z |
| format | Article |
| id | doaj.art-91cafe383f2c41b1929deb6d7cfda3da |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-10T08:52:47Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-91cafe383f2c41b1929deb6d7cfda3da2023-11-22T07:21:06ZengMDPI AGDiagnostics2075-44182021-08-01118148010.3390/diagnostics11081480Transfer Learning for the Detection and Diagnosis of Types of Pneumonia including Pneumonia Induced by COVID-19 from Chest X-ray ImagesYusuf Brima0Marcellin Atemkeng1Stive Tankio Djiokap2Jaures Ebiele3Franklin Tchakounté4African Institute for Mathematical Sciences (AIMS), Kigali P.O. Box 7150, RwandaDepartment of Mathematics, Rhodes University, Grahamstown 6140, South AfricaDepartment of Arts, Technology and Heritage, Institute of Fine Arts, University of Dschang, Foumban P.O. Box 31, CameroonAfrican Institute for Mathematical Sciences (AIMS), Kigali P.O. Box 7150, RwandaDepartment of Mathematics and Computer Science, Faculty of Science, University of Ngaoundéré, Ngaoundéré P.O. Box 454, CameroonAccurate early diagnosis of COVID-19 viral pneumonia, primarily in asymptomatic people, is essential to reduce the spread of the disease, the burden on healthcare capacity, and the overall death rate. It is essential to design affordable and accessible solutions to distinguish pneumonia caused by COVID-19 from other types of pneumonia. In this work, we propose a reliable approach based on deep transfer learning that requires few computations and converges faster. Experimental results demonstrate that our proposed framework for transfer learning is a potential and effective approach to detect and diagnose types of pneumonia from chest X-ray images with a test accuracy of 94.0%.https://www.mdpi.com/2075-4418/11/8/1480COVID-19X-ray imagedeep transfer learningdiagnosis |
| spellingShingle | Yusuf Brima Marcellin Atemkeng Stive Tankio Djiokap Jaures Ebiele Franklin Tchakounté Transfer Learning for the Detection and Diagnosis of Types of Pneumonia including Pneumonia Induced by COVID-19 from Chest X-ray Images Diagnostics COVID-19 X-ray image deep transfer learning diagnosis |
| title | Transfer Learning for the Detection and Diagnosis of Types of Pneumonia including Pneumonia Induced by COVID-19 from Chest X-ray Images |
| title_full | Transfer Learning for the Detection and Diagnosis of Types of Pneumonia including Pneumonia Induced by COVID-19 from Chest X-ray Images |
| title_fullStr | Transfer Learning for the Detection and Diagnosis of Types of Pneumonia including Pneumonia Induced by COVID-19 from Chest X-ray Images |
| title_full_unstemmed | Transfer Learning for the Detection and Diagnosis of Types of Pneumonia including Pneumonia Induced by COVID-19 from Chest X-ray Images |
| title_short | Transfer Learning for the Detection and Diagnosis of Types of Pneumonia including Pneumonia Induced by COVID-19 from Chest X-ray Images |
| title_sort | transfer learning for the detection and diagnosis of types of pneumonia including pneumonia induced by covid 19 from chest x ray images |
| topic | COVID-19 X-ray image deep transfer learning diagnosis |
| url | https://www.mdpi.com/2075-4418/11/8/1480 |
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