A Novel Approach for Pneumonia Detection from Chest X-Ray Images using Deep Learning
Keywords:
Chest x-ray, convolutional neural network, Deep Learning, Transfer Learning, Image AugmentationAbstract
Pneumonia, a severe respiratory infection, necessitates prompt and precise diagnosis for effective treatment. This paper introduces an innovative method for pneumonia detection from X-ray images using deep learning techniques, to improve diagnostic efficiency and accuracy, leading to better patient outcomes. The research investigates the application of advanced deep learning models, particularly convolutional neural networks (CNNs), to extract significant features from X-ray images. The proposed architecture for chest X-ray images to identify pneumonia cases. The preliminary results are promising, achieving an accuracy of 91.18%, demonstrating potential advancements over prior studies and offering optimism among radiologists
Downloads
References
Rajpurkar, P., Irvin, J., Zhu, K., Yang, B., Mehta, H., Duan, T., ... & Langlotz, C. (2017). CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning. arXiv preprint arXiv:1711.05225.
Esteva, Andre, et al. "A Dermatologist-Level Classification of Skin Cancer with Deep Neural Networks." Nature 542.7639 (2017): 115-118.
Acharya, U. R., et al. "Deep learning for automated detection of fungal pneumonia using chest X-rays." Diagnostics 8.2 (2018): 31.
Tang, Yu-Xing, et al. "A comparative study of deep learning methods for classification of chest X-ray images with pneumonia." Journal of medical imaging and health informatics 9.7 (2017): 1124-1134.
Wang, Xiaoli, et al. "Densely connected convolutional networks for chest X-ray classification and pneumonia detection." IEEE transactions on medical imaging 37.9 (2017): 2012-2022.
Singh, Vivek, et al. "A deep learning system for automated chest X-ray classification using a lightweight architecture." Cognitive Computation 11.7 (2019): 1418-1429.
Praneeth, Chalavadi, et al. "Leveraging Deep Learning Models for Chest X-Ray Classification of Pneumonia." International Journal of Engineering and Advanced Technology (IJEAT) 9.4 (2020).
Ahn, Eunju, et al. "Deep learning model for classifying pneumonia, normal and viral/bacterial pneumonia in chest X-rays." Scientific Reports 8.1 (2018): 1-9.
Yamashita, Ryota, et al. "Automated diagnosis of pneumonia using convolutional neural networks." Nature Communications 9.1 (2018): 1-10.
Sethy, P.K., Behera, S.K. (2020). "A Survey on Deep Learning Techniques for Pneumonia Detection in Chest X-Ray Images."
Nazeri, K., et al. (2020). "Deep Learning Techniques for Pneumonia Detection: A Survey."
Rajesh, D., et al. (2019). "Pneumonia Detection from Chest X-Ray Images Using Convolutional Neural Networks."
Akkus, Z., et al. (2017). "An Overview of Deep Learning in Medical Imaging Focusing on Lung Disease Diagnosis: A Survey."
Davenport, T., Kalakota, R. (2019). "Deep Learning for Health Informatics."
Pan, S.J., Yang, Q. (2010). "A Comprehensive Survey on Transfer Learning: A Deep Learning Perspective."
S. Jain, A. Gupta, and M. Patel, "A Lightweight Deep Learning Model for Pneumonia Detection in Chest X-rays," ArXiv preprint arXiv:2301.07242, 2023.
A. Kumar, "Identifying Pneumonia in Chest X-Rays: A Deep Learning Approach with Explainable AI," ResearchGate, 2023.
Y. Ma, X. Li, and J. Zhang, "A Systematic Literature Review on Deep Learning Approaches for Pneumonia Detection Using Chest X-ray Images," ResearchGate, 2023.
P. Sharma, R. K. Singh, and M. K. Gupta, "Pneumonia Detection Using Deep Learning and Transfer Learning," E3S Web of Conferences, vol. 391, no. 01067, 2023.
Y. Yu, H. Wang, and D. Liu, "Deep Learning for Chest X-Ray Classification of Pneumonia with Imbalanced Class Distribution," Pattern Recognition Letters, vol. 170, 2023.
X. Li, L. Chen, and Q. Zhang, "Attention-based Deep Learning Framework for Pneumonia Detection and Severity Classification," Computer Methods and Programs in Biomedicine, vol. 232, no. 107222, 2023.
R. Singh, V. Kumar, and P. N. Gupta, "Explainable AI for Deep Learning-Based Pneumonia Detection from Chest X-rays," Studies in Computational Intelligence, vol. 1032, 2023.
X. Yang, Y. Zhao, and W. Huang, "Federated Learning for Pneumonia Detection in Chest X-rays: Preserving Privacy and Achieving High Accuracy," IEEE Journal of Biomedical and Health Informatics, vol. 27, no. 6, 2023.
J. Zhang, H. Li, and Y. Wang, "Generative Adversarial Networks for Data Augmentation in Deep Learning-based Pneumonia Detection," Lecture Notes in Computer Science, vol. 13813, 2023.
Wang, H., Liu, Y., & Chen, J. (2023). A Comparative Study of Deep Learning Architectures for Pneumonia Detection in Chest X-rays. Journal of Medical Imaging and Health Informatics, 13(2).
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.
