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- Vol. 6 Issue 3
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Pneumonia Detection Using Chest X-Ray through Deep Learning
Authors
1Professor, Department of Information Technology, St. Vincent Pallotti College of Engineering and Technology,Maharashtra, India. 234Students, Department of Information Technology, St. Vincent Pallotti College of Engineering and Technology,Maharashtra, India.
Article Information
- Published In
- Volume 6, Issue 3 (2025)
- Published Online
- May-June 2025
- Pages
- 35-38
- Article Type
- Review Article
- Check for updates
-
References
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2017.
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Imaging, 2020.
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14. D. Ardila et al.,”End-to-end lung cancer screening...,” Nature Medicine, 2019.
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16. J. Zhang et al., ”Identifying lung nodules in CT images using a deep learning approach...,” IEEE Trans. Med. Imaging, 2019.
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20. Y. Xu et al.,”Multi-task deep learning for lung cancer diagnosis and prognosis...,” BMC Med. Imaging, 2021. P. Wang et al., ”Lung
cancer detection in PET-CT images using multi- task CNN,” Comp
vol. 172, no. 5, pp. 112-121, 2018.
2. A. Rajpurkar, J. Irvin, et al.,”CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning,” arXiv preprint,
2017.
3. K. He, X. Zhang, S. Ren, J. Sun,”Deep Residual Learning for Image Recognition,” in Proc. IEEE CVPR, 2016.
4. K. Simonyan and A. Zisserman,”Very Deep Convolutional Networks for Large-Scale Image Recognition,” arXiv preprint, 2014.
5. G. Huang, Z. Liu, L. van der Maaten, and K. Q. Weinberger, ”Densely Connected Convolutional Networks,” in Proc. IEEE CVPR,
2017.
6. Chest X-ray Dataset, Kaggle, https://www.kaggle.com/dataset.
7. H. M. Almarabeh et al.,”Deep learning for pneumonia detection using chest X-ray images,” in Proc. ATSIP, 2018.
8. S. Wang et al.,”Deep learning for identifying radiographic signs of pneumonia from chest X-ray images,” IEEE Access, 2018.
9. J. Ma et al., ”Application of deep learning to predict pneumonia caused by SARS-CoV-2 from chest X-ray images,” IEEE Trans. Med.
Imaging, 2020.
10. H. Zhang et al.,”Development and validation of a deep learning algorithm for the detection of pulmonary nodules...,” Lancet Digital
Health, 2021.
11. Q. Han et al.,”Multilabel classification of pulmonary nodules in chest radiographs...,” IEEE Trans. Med. Imaging, 2018.
12. W. Shen et al.,”Deep learning for lung cancer detection...,” arXiv preprint, 2017.
13. Y. Li et al.,”A hybrid framework for lung cancer detection and classification...,” IEEE Access, 2020.
14. D. Ardila et al.,”End-to-end lung cancer screening...,” Nature Medicine, 2019.
15. T. Liang et al.,”Automatic lung nodule detection using a 3D deep CNN...,” Comput. Med. Imaging Graph., 2020.
16. J. Zhang et al., ”Identifying lung nodules in CT images using a deep learning approach...,” IEEE Trans. Med. Imaging, 2019.
17. W. Zhao et al.,”A computer-aided detection system for lung nodule detection...,” J. Healthc. Eng., 2021.
18. N. Ye et al.,”Deep residual learning for automatic pulmonary nodule detection...,” Comput. Biol. Med., 2018.
19. W. Song et al.,”Pulmonary nodule detection using a cascaded CNN ensemble...,” IEEE Access, 2021.
20. Y. Xu et al.,”Multi-task deep learning for lung cancer diagnosis and prognosis...,” BMC Med. Imaging, 2021. P. Wang et al., ”Lung
cancer detection in PET-CT images using multi- task CNN,” Comp
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