Classification of COVID-19 Chest X-Ray Images Based on Speeded Up Robust Features and Clustering-Based Support Vector Machines

[1] WHO 2021, “Coronavirus disease 2019 (COVID-19). Weekly epidemiological update – 12 January 2021”. [Online]. Available: who.int Search in Google Scholar

[2] CDC: Centers for Disease Control and Prevention, “Symptoms of COVID-19,” 2022. [Online]. Available: https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/symptoms.html Search in Google Scholar

[3] Z. Zhao, H. Bai, J. Duan, and J. Wang, “Recommendations of individualized medical treatment and common adverse events management for lung cancer patients during the outbreak of COVID -19 epidemic,” Thoracic Cancer, vol. 11, no. 6, pp. 1752–1757, Apr. 2020. https://doi.org/10.1111/1759-7714.13424 Search in Google Scholar

[4] R. Yasin and W. Gouda, “Chest X-ray findings monitoring COVID-19 disease course and severity,” Egyptian Journal of Radiology and Nuclear Medicine, vol. 51, no. 1, Sep. 2020, Art. no. 193. https://doi.org/10.1186/s43055-020-00296-x Search in Google Scholar

[5] M. B. Weinstock et al., “Chest X-Ray findings in 636 ambulatory patients with COVID-19 presenting to an urgent care center: A normal chest X-ray is no guarantee,” The Journal of Urgent Care Medicine, Apr. 2020. [Online]. Available: https://www.jucm.com/chest-x-ray-findings-in-636-ambulatory-patients-with-covid-19-presenting-to-an-urgent-care-center-a-normal-chest-x-ray-is-no-guarantee/ Search in Google Scholar

[6] Y. Li, L. Yao, J. Li, L. Chen, Y. Song, Z. Cai, and C. Yang, “Stability issues of RT-PCR testing of SARS-CoV-2 for hospitalized patients clinically diagnosed with COVID-19,” Journal of Medical Virology, vol. 92, no. 7, pp. 903–908, Mar. 2020. https://doi.org/10.1002/jmv.25786 Search in Google Scholar

[7] J. Gurney, “Normal CXR module: train your eye,” 2018. [Online]. Available: http://www.chestx-ray.com/index.php/education/normal-cxr-module-train-your-eye Search in Google Scholar

[8] J. P. Cohen, M. Hashir, R. Brooks, and H. Bertrand, “On the limits of cross-domain generalization in automated X-ray prediction,” arXiv, May 2020. https://doi.org/10.48550/arXiv.2002.02497 Search in Google Scholar

[9] Radiopaedia, 2020. [Online]. Available: https://radiopaedia.org/search?lang=gb&q=covid-19&scope=cases Search in Google Scholar

[10] Y. Oh, S. Park, and J. C. Ye, “Deep learning COVID-19 features on CXR using limited training data sets,” IEEE Transaction on Medical Imaging, vol. 39, no. 8, pp. 2688–2700, Aug. 2020. https://doi.org/10.1109/TMI.2020.2993291 Search in Google Scholar

[11] P. K. Sethy, S. K. Behera, P. K. Ratha, and P. Biswas, “Detection of coronavirus disease (COVID-19) based on deep features and support vector machine,” Preprints.org 2020, 2020030300. [Online]. Available: https://www.preprints.org/manuscript/202003.0300/v2 Search in Google Scholar

[12] B. Ghoshal and A. Tucker, “Estimating uncertainty and interpretability in deep learning for coronavirus (COVID-19) detection,” arXiv preprint, arXiv:2003.10769, 2020. https://www.semanticscholar.org/reader/a43026ac2a8ed3d2e2021c19127c6ec666df2c27 Search in Google Scholar

[13] L. Wang, Z. Q. Lin, and A. Wong, “COVID-Net: A tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images,” Scientific Reports, vol. 10, no. 1, Nov. 2020, Art. no. 19549. https://doi.org/10.1038/s41598-020-76550-z Search in Google Scholar

[14] A. Waheed, M. Goyal, D. Gupta, A. Khanna, F. Al-Turjman, and P. R. Pinheiro, “CovidGAN: Data augmentation using auxiliary classifier GAN for improved Covid-19 detection,” IEEE Access, vol. 8, pp. 91916–91923, May 2020. https://doi.org/10.1109/ACCESS.2020.2994762 Search in Google Scholar

[15] P. Afshar, S. Heidarian, F. Naderkhani, A. Oikonomou, K. N. Plataniotis, and A. Mohammadi, “COVID-CAPS: A capsule network -based framework for identification of COVID-19 cases from X-ray images,” Pattern Recogn. Lett., vol. 138, pp. 638–643, Oct. 2020. https://doi.org/10.1016/j.patrec.2020.09.010 Search in Google Scholar

[16] I. D. Apostolopoulos and T. A. Mpesiana, “Covid-19: Automatic detection from X-ray images utilizing transfer learning with convolutional neural networks,” Physical and Engineering Sciences in Medicine, vol. 43, no. 2, pp. 635–640, Apr. 2020. https://doi.org/10.1007/s13246-020-00865-4 Search in Google Scholar

[17] T. Li, Z. Han, B. Wei, Y. Zheng, Y. Hong, and J. Cong, “Robust screening of COVID-19 from chest X-ray via discriminative cost-sensitive learning,” arXiv preprint, arXiv: 2004.12592, May 2020. https://doi.org/10.48550/arXiv.2004.12592 Search in Google Scholar

[18] R. Kumar et al., “Classification of COVID-19 from chest X-ray images using deep features and correlation coefficient,” Multimed. Tools Appl., vol. 81, pp. 27631–27655, Mar. 2022. https://doi.org/10.1007/s11042-022-12500-3 Search in Google Scholar

[19] S. Gupta, K. Thakur, and M. Kumar, “2D-human face recognition using SIFT and SURF descriptors of face’s feature regions,” Visual Computer, vol. 37, pp. 447–456, Feb. 2020. https://doi.org/10.1007/s00371-020-01814-8 Search in Google Scholar

[20] J. Nalepa and M. Kawulok, “Selecting training sets for support vector machines: a review,” Artif. Intell. Review, vol. 52, pp. 857–900, 2019. https://doi.org/10.1007/s10462-017-9611-1 Search in Google Scholar

[21] G. Csurka, C. R. Dance, L. Fan, J. Willamowski, and C. Bray, “Visual categorization with bag of keypoints,” in 2004 ECCV Workshop on Statistical Learning in Computer Vision, vol. 1, 2004, pp. 1–24. Search in Google Scholar

[22] H. Bay, A. Ess, T. Tuytelaars, and L. V. Gool, “Speeded-up robust features (SURF),” Computer Vision and Image Understanding, vol. 110, no. 3, pp. 346–359, Jun. 2008. https://doi.org/10.1016/j.cviu.2007.09.014 Search in Google Scholar

[23] E. Oyallon and J. Rabin, “An analysis of the SURF method,” Image Processing On Line, vol. 5, pp. 176–218, 2015. https://doi.org/10.5201/ipol.2015.69 Search in Google Scholar

[24] E. Carrizosa, A. Nogales-Gómez, and D. R. Morales, “Clustering categories in support vector machines,” Omega, vol. 66, Part A, pp. 28–37, Jan. 2017. https://doi.org/10.1016/j.omega.2016.01.008 Search in Google Scholar

[25] W. K. Silverstein, L. Stroud, G. E. Cleghorn, and J. A. Leis, “First imported case of 2019 novel coronavirus in Canada, presenting as mild pneumonia,” The Lancet, vol. 395, no. 10225, Feb. 2020. https://doi.org/10.1016/S0140-6736(20)30370-6 Search in Google Scholar