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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Main Authors: Vats, S., Sharma, V., Singh, K., Katti, A., Mohd Ariffin, M., Nazir Ahmad, M., Ahmadian, A., Salahshour, S.
Format: Article
Published: Elsevier Ltd 2024
Online Access: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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spelling 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
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description 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
format Article
author Vats, S.
Sharma, V.
Singh, K.
Katti, A.
Mohd Ariffin, M.
Nazir Ahmad, M.
Ahmadian, A.
Salahshour, S.
spellingShingle 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.
author_sort 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
publisher Elsevier Ltd
publishDate 2024
url 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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