Artificial Intelligence-Based Classification of Chest X-Ray Images into COVID-19 and Other Infectious Diseases
The ongoing pandemic of coronavirus disease 2019 (COVID-19) has led to global health and healthcare crisis, apart from the tremendous socioeconomic effects. One of the significant challenges in this crisis is to identify and monitor the COVID-19 patients quickly and efficiently to facilitate timely...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2020/8889023 |
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| _version_ | 1832566060975390720 |
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| author | Arun Sharma Sheeba Rani Dinesh Gupta |
| author_facet | Arun Sharma Sheeba Rani Dinesh Gupta |
| author_sort | Arun Sharma |
| collection | DOAJ |
| description | The ongoing pandemic of coronavirus disease 2019 (COVID-19) has led to global health and healthcare crisis, apart from the tremendous socioeconomic effects. One of the significant challenges in this crisis is to identify and monitor the COVID-19 patients quickly and efficiently to facilitate timely decisions for their treatment, monitoring, and management. Research efforts are on to develop less time-consuming methods to replace or to supplement RT-PCR-based methods. The present study is aimed at creating efficient deep learning models, trained with chest X-ray images, for rapid screening of COVID-19 patients. We used publicly available PA chest X-ray images of adult COVID-19 patients for the development of Artificial Intelligence (AI)-based classification models for COVID-19 and other major infectious diseases. To increase the dataset size and develop generalized models, we performed 25 different types of augmentations on the original images. Furthermore, we utilized the transfer learning approach for the training and testing of the classification models. The combination of two best-performing models (each trained on 286 images, rotated through 120° or 140° angle) displayed the highest prediction accuracy for normal, COVID-19, non-COVID-19, pneumonia, and tuberculosis images. AI-based classification models trained through the transfer learning approach can efficiently classify the chest X-ray images representing studied diseases. Our method is more efficient than previously published methods. It is one step ahead towards the implementation of AI-based methods for classification problems in biomedical imaging related to COVID-19. |
| format | Article |
| id | doaj-art-4e2b08ec14d941c49c51c09641cdbdcd |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-4e2b08ec14d941c49c51c09641cdbdcd2025-02-03T01:05:10ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962020-01-01202010.1155/2020/88890238889023Artificial Intelligence-Based Classification of Chest X-Ray Images into COVID-19 and Other Infectious DiseasesArun Sharma0Sheeba Rani1Dinesh Gupta2Translational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Marg, New Delhi 110067, IndiaTranslational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Marg, New Delhi 110067, IndiaTranslational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Marg, New Delhi 110067, IndiaThe ongoing pandemic of coronavirus disease 2019 (COVID-19) has led to global health and healthcare crisis, apart from the tremendous socioeconomic effects. One of the significant challenges in this crisis is to identify and monitor the COVID-19 patients quickly and efficiently to facilitate timely decisions for their treatment, monitoring, and management. Research efforts are on to develop less time-consuming methods to replace or to supplement RT-PCR-based methods. The present study is aimed at creating efficient deep learning models, trained with chest X-ray images, for rapid screening of COVID-19 patients. We used publicly available PA chest X-ray images of adult COVID-19 patients for the development of Artificial Intelligence (AI)-based classification models for COVID-19 and other major infectious diseases. To increase the dataset size and develop generalized models, we performed 25 different types of augmentations on the original images. Furthermore, we utilized the transfer learning approach for the training and testing of the classification models. The combination of two best-performing models (each trained on 286 images, rotated through 120° or 140° angle) displayed the highest prediction accuracy for normal, COVID-19, non-COVID-19, pneumonia, and tuberculosis images. AI-based classification models trained through the transfer learning approach can efficiently classify the chest X-ray images representing studied diseases. Our method is more efficient than previously published methods. It is one step ahead towards the implementation of AI-based methods for classification problems in biomedical imaging related to COVID-19.http://dx.doi.org/10.1155/2020/8889023 |
| spellingShingle | Arun Sharma Sheeba Rani Dinesh Gupta Artificial Intelligence-Based Classification of Chest X-Ray Images into COVID-19 and Other Infectious Diseases International Journal of Biomedical Imaging |
| title | Artificial Intelligence-Based Classification of Chest X-Ray Images into COVID-19 and Other Infectious Diseases |
| title_full | Artificial Intelligence-Based Classification of Chest X-Ray Images into COVID-19 and Other Infectious Diseases |
| title_fullStr | Artificial Intelligence-Based Classification of Chest X-Ray Images into COVID-19 and Other Infectious Diseases |
| title_full_unstemmed | Artificial Intelligence-Based Classification of Chest X-Ray Images into COVID-19 and Other Infectious Diseases |
| title_short | Artificial Intelligence-Based Classification of Chest X-Ray Images into COVID-19 and Other Infectious Diseases |
| title_sort | artificial intelligence based classification of chest x ray images into covid 19 and other infectious diseases |
| url | http://dx.doi.org/10.1155/2020/8889023 |
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