DETECTION OF COVID-19 PNEUMONIA EFFECTS IN CHEST X-RAYS USING DEEP LEARNING
Abstract
Keywords
References
- Afshar, P., S. Heidarian, F. Naderkhani, A. Oikonomou, K.N. Plataniotis, and A. Mohammadi. 2020. Covid- caps: a capsule network-based framework for identification of covid-19 cases from x-ray images. arXiv preprint arXiv:2004.02696
- Ajlan, A.M., R.A. Ahyad, L.G. Jamjoom, A. Alharthy, and T.A. Madani. 2014. Middle East respiratory syndrome coronavirus (MERSCoV) infection: chest CT findings. Am J Roentgenol 203(4):782– 787
- Apostolopoulos, I.D., and T.A. Mpesiana. 2020. Covid-19: automatic detection from x-ray images utilising transfer learning with convolutional neural networks. Phys Eng Sci Med:1
- Basile, C., C. Combe, F. Pizzarelli, A. Covic, A. Davenport, M. Kanbay, D. Kirmizis, D. Schneditz, F. van der Sande, and S. Mitra. 2020. Recommendations for the prevention, mitigation and containment of the emerging SARS-CoV-2 (COVID-19) pandemic in haemodialysis centres. Nephrol Dialysis Transplantation 35:737– 741
- Chen, S.-F., Y.-C. Chen, C.-K. Yeh, F. Wang, and C. Yu. 2017. Order-free rnn with visual attention for multi- label classification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
- Diamond, S., V. Sitzmann, S. Boyd, G. Wetzstein, and F. Heide. 2017. Dirty Pixels: Optimizing Image Classification Architectures for Raw Sensor Data. arXiv:1701.06487
- Dodge, S., and L. Karam. 2016. Understanding how image quality affects deep neural networks. In: Quality of Multimedia Experience (QoMEX), Eighth International Conference on, IEEE, arXiv:1604.04004v2, pp. 1–6
- Hansell, D.M., A.A. Bankier, H. MacMahon, T.C. McLoud, N.L. Muller, and J. Remy. 2008. Fleischner society: glossary of terms for thoracic imaging. Radiology 246(3):697–722
Details
Primary Language
Turkish
Subjects
Biomedical Engineering
Journal Section
Research Article
Authors
Mohammed Khamees Ahmed
*
This is me
0000-0001-9145-1939
Türkiye
Publication Date
April 26, 2022
Submission Date
April 21, 2022
Acceptance Date
April 26, 2022
Published in Issue
Year 2022 Volume: 4 Number: 1