Pneumonia detection through Image Classification Using CNN

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Karan Badlani
Shreya Sawal
Mohit Nilkute
Shruti Belekar
Ajinkya Nilawar

Abstract




Pneumonia is a dangerous and serious lung disease. Generally, Chest Radiographs are used to detect pneumonia. This article describes a new method based on Convolutional Neural Network (CNN) classifiers that can identify pneumonia from a patient’s X-ray. Hence, we are proposing pneumonia detection based on CNN using chest X-ray. In this paper, we analyze the existing methods of pneumonia detection and classification techniques. The performance of the proposed CNN model is compared with VGG19 and ResNet50-V2. Performance evaluation is done using Precision and Recall. The proposed CNN model provides higher accuracy compared to existing CNN models. 




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How to Cite
Karan Badlani, Shreya Sawal, Mohit Nilkute, Shruti Belekar, & Ajinkya Nilawar. (2022). Pneumonia detection through Image Classification Using CNN. International Journal of Next-Generation Computing, 13(5). https://doi.org/10.47164/ijngc.v13i5.931

References

  1. Anthimopoulos, M., Christodoulidis, S., Ebner, L., Christe, A., and Mougiakakou, S. 2016. Lung pattern classification for interstitial lung diseases using a deep convolutional neural network. IEEE Transactions on Medical Imaging 35, 5, 1207–1216. DOI: https://doi.org/10.1109/TMI.2016.2535865
  2. Bharati, S., Podder, P., and Mondal, M. R. H. 2020. Hybrid deep learning for detecting lung diseases from x-ray images. Informatics in Medicine Unlocked 20, 100391. DOI: https://doi.org/10.1016/j.imu.2020.100391
  3. GM, H., Gourisaria, M. K., Rautaray, S. S., and Pandey, M. 2021. Pneumonia detection using cnn through chest x-ray. Journal of Engineering Science and Technology (JESTEC) 16, 1, 861–876.
  4. Hashmi, M. F., Katiyar, S., Keskar, A. G., Bokde, N. D., and Geem, Z. W. 2020. Efficient pneumonia detection in chest xray images using deep transfer learning. Diagnostics 10, 6, 417. DOI: https://doi.org/10.3390/diagnostics10060417
  5. Mangeri, L., OS, G. P., Puppala, N., and Kanmani, P. 2021. Chest diseases prediction from x-ray images using cnn models: A study. International Journal of Advanced Computer Science and Applications 12, 10. DOI: https://doi.org/10.14569/IJACSA.2021.0121026
  6. Rajasenbagam, T., Jeyanthi, S., and Pandian, J. A. 2021. Detection of pneumonia infection in lungs from chest x-ray images using deep convolutional neural network and content-based image retrieval techniques. Journal of Ambient Intelligence and Humanized Computing, 1– 8. DOI: https://doi.org/10.1007/s12652-021-03075-2
  7. Rammuni Silva, R. S. and Fernando, P. 2022. Effective utilization of multiple convolutional neural networks for chest x-ray classification. SN Computer Science 3, 6, 1–16. DOI: https://doi.org/10.1007/s42979-022-01390-9
  8. Sirish Kaushik, V., Nayyar, A., Kataria, G., and Jain, R. 2020. Pneumonia detection using convolutional neural networks (cnns). In Proceedings of First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019), P. K. Singh, W. Paw lowski, S. Tanwar, N. Kumar, J. J. P. C. Rodrigues, and M. S. Obaidat, Eds. Springer Singapore, Singapore, 471–483. DOI: https://doi.org/10.1007/978-981-15-3369-3_36
  9. Yue, Z., Ma, L., and Zhang, R. 2020. Comparison and validation of deep learning models for the diagnosis of pneumonia. Computational Intelligence and Neuroscience 2020. DOI: https://doi.org/10.1155/2020/8876798