Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images
Rapid treatment protocols such as X-ray and CT scans have played a crucial role in the diagnosis of tuberculosis (TB infection). Automatic detection of CXR is required to speed up patient treatment with accuracy. Consequently, it reduces the burden of patients on medical practitioners. The present p...
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oai:scholars.utp.edu.my:380822023-12-11T03:16:48Z http://scholars.utp.edu.my/id/eprint/38082/ Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images Vats, S. Sharma, V. Singh, K. Katti, A. Mohd Ariffin, M. Nazir Ahmad, M. Ahmadian, A. Salahshour, S. Rapid treatment protocols such as X-ray and CT scans have played a crucial role in the diagnosis of tuberculosis (TB infection). Automatic detection of CXR is required to speed up patient treatment with accuracy. Consequently, it reduces the burden of patients on medical practitioners. The present paper proposes an incremental learning-based cascaded (ILCM) model to detect tuberculosis from Chest X-ray images. The proposed model also localizes the infected region on the CXR image. The experimental outcome, clearly indicates that the performance is better than the pre-trained model as tested on the local population data (93.20 overall accuracy), F1 score of 97.23 (harmonic mean of precision and recall). Where the Golden standard dataset was 83.32 overall accuracy, and F1 score 82.24. © 2023 Elsevier Ltd Elsevier Ltd 2024 Article NonPeerReviewed Vats, S. and Sharma, V. and Singh, K. and Katti, A. and Mohd Ariffin, M. and Nazir Ahmad, M. and Ahmadian, A. and Salahshour, S. (2024) Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images. Expert Systems with Applications, 238. ISSN 09574174 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174727197&doi=10.1016%2fj.eswa.2023.122129&partnerID=40&md5=8a7b3e2433e07311f6296bf963da09db 10.1016/j.eswa.2023.122129 10.1016/j.eswa.2023.122129 10.1016/j.eswa.2023.122129 |
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Rapid treatment protocols such as X-ray and CT scans have played a crucial role in the diagnosis of tuberculosis (TB infection). Automatic detection of CXR is required to speed up patient treatment with accuracy. Consequently, it reduces the burden of patients on medical practitioners. The present paper proposes an incremental learning-based cascaded (ILCM) model to detect tuberculosis from Chest X-ray images. The proposed model also localizes the infected region on the CXR image. The experimental outcome, clearly indicates that the performance is better than the pre-trained model as tested on the local population data (93.20 overall accuracy), F1 score of 97.23 (harmonic mean of precision and recall). Where the Golden standard dataset was 83.32 overall accuracy, and F1 score 82.24. © 2023 Elsevier Ltd |
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Vats, S. Sharma, V. Singh, K. Katti, A. Mohd Ariffin, M. Nazir Ahmad, M. Ahmadian, A. Salahshour, S. |
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Vats, S. Sharma, V. Singh, K. Katti, A. Mohd Ariffin, M. Nazir Ahmad, M. Ahmadian, A. Salahshour, S. Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images |
author_facet |
Vats, S. Sharma, V. Singh, K. Katti, A. Mohd Ariffin, M. Nazir Ahmad, M. Ahmadian, A. Salahshour, S. |
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Vats, S. |
title |
Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images |
title_short |
Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images |
title_full |
Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images |
title_fullStr |
Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images |
title_full_unstemmed |
Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images |
title_sort |
incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images |
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Elsevier Ltd |
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2024 |
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http://scholars.utp.edu.my/id/eprint/38082/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174727197&doi=10.1016%2fj.eswa.2023.122129&partnerID=40&md5=8a7b3e2433e07311f6296bf963da09db |
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