An adaptive data processing framework for cost- effective covid-19 and pneumonia detection
Medical imaging modalities have been showing great potentials for faster and efficient disease transmission control and containment. In the paper, we propose a costeffective COVID-19 and pneumonia detection framework using CT scans acquired from several hospitals. To this end, we incorporate a novel...
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| Format: | Proceedings |
| Language: | English English |
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Institute of Electrical and Electronics Engineers
2021
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| Online Access: | https://eprints.ums.edu.my/id/eprint/32426/1/An%20adaptive%20data%20processing%20framework%20for%20cost-%20effective%20covid-19%20and%20pneumonia%20detection.ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/32426/2/An%20adaptive%20data%20processing%20framework%20for%20cost%20effective%20Covid-19%20and%20pneumonia%20detection.pdf |
| _version_ | 1825714689973157888 |
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| author | Kin, Wai Lee Ka, Renee Yin Chin |
| author_facet | Kin, Wai Lee Ka, Renee Yin Chin |
| author_sort | Kin, Wai Lee |
| collection | UMS |
| description | Medical imaging modalities have been showing great potentials for faster and efficient disease transmission control and containment. In the paper, we propose a costeffective COVID-19 and pneumonia detection framework using CT scans acquired from several hospitals. To this end, we incorporate a novel data processing framework that utilizes 3D and 2D CT scans to diversify the trainable inputs in a resource-limited setting. Moreover, we empirically demonstrate the significance of several data processing schemes for our COVID-19 and pneumonia detection network. Experiment results show that our proposed pneumonia detection network is comparable to other pneumonia detection tasks integrated with imaging modalities, with 93% mean AUC and 85.22% mean accuracy scores on generalized datasets. Additionally, our proposed data processing framework can be easily adapted to other applications of CT modality, especially for cost-effective and resource-limited scenarios, such as breast cancer detection, pulmonary nodules diagnosis, etc. |
| first_indexed | 2024-03-06T03:15:34Z |
| format | Proceedings |
| id | ums.eprints-32426 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T03:15:34Z |
| publishDate | 2021 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | ums.eprints-324262022-04-22T08:16:42Z https://eprints.ums.edu.my/id/eprint/32426/ An adaptive data processing framework for cost- effective covid-19 and pneumonia detection Kin, Wai Lee Ka, Renee Yin Chin QA1-43 General RC581-951 Specialties of internal medicine Medical imaging modalities have been showing great potentials for faster and efficient disease transmission control and containment. In the paper, we propose a costeffective COVID-19 and pneumonia detection framework using CT scans acquired from several hospitals. To this end, we incorporate a novel data processing framework that utilizes 3D and 2D CT scans to diversify the trainable inputs in a resource-limited setting. Moreover, we empirically demonstrate the significance of several data processing schemes for our COVID-19 and pneumonia detection network. Experiment results show that our proposed pneumonia detection network is comparable to other pneumonia detection tasks integrated with imaging modalities, with 93% mean AUC and 85.22% mean accuracy scores on generalized datasets. Additionally, our proposed data processing framework can be easily adapted to other applications of CT modality, especially for cost-effective and resource-limited scenarios, such as breast cancer detection, pulmonary nodules diagnosis, etc. Institute of Electrical and Electronics Engineers 2021 Proceedings PeerReviewed text en https://eprints.ums.edu.my/id/eprint/32426/1/An%20adaptive%20data%20processing%20framework%20for%20cost-%20effective%20covid-19%20and%20pneumonia%20detection.ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/32426/2/An%20adaptive%20data%20processing%20framework%20for%20cost%20effective%20Covid-19%20and%20pneumonia%20detection.pdf Kin, Wai Lee and Ka, Renee Yin Chin (2021) An adaptive data processing framework for cost- effective covid-19 and pneumonia detection. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9576805 |
| spellingShingle | QA1-43 General RC581-951 Specialties of internal medicine Kin, Wai Lee Ka, Renee Yin Chin An adaptive data processing framework for cost- effective covid-19 and pneumonia detection |
| title | An adaptive data processing framework for cost- effective covid-19 and pneumonia detection |
| title_full | An adaptive data processing framework for cost- effective covid-19 and pneumonia detection |
| title_fullStr | An adaptive data processing framework for cost- effective covid-19 and pneumonia detection |
| title_full_unstemmed | An adaptive data processing framework for cost- effective covid-19 and pneumonia detection |
| title_short | An adaptive data processing framework for cost- effective covid-19 and pneumonia detection |
| title_sort | adaptive data processing framework for cost effective covid 19 and pneumonia detection |
| topic | QA1-43 General RC581-951 Specialties of internal medicine |
| url | https://eprints.ums.edu.my/id/eprint/32426/1/An%20adaptive%20data%20processing%20framework%20for%20cost-%20effective%20covid-19%20and%20pneumonia%20detection.ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/32426/2/An%20adaptive%20data%20processing%20framework%20for%20cost%20effective%20Covid-19%20and%20pneumonia%20detection.pdf |
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