Publisher
Springer Nature Switzerland
Reference30 articles.
1. Agrawal, T., Choudhary, P.: ALCNN: attention based lightweight convolutional neural network for pneumothorax detection in chest X-rays. Biomed. Signal Process. Control 79, 104126 (2023)
2. Ahmed, M.S., et al.: Joint diagnosis of pneumonia, COVID-19, and tuberculosis from chest X-ray images: a deep learning approach. Diagnostics 13(15), 2562 (2023)
3. Ali, W., Qureshi, E., Farooqi, O.A., Khan, R.A.: Pneumonia detection in chest X-ray images: handling class imbalance. arXiv preprint arXiv:2301.08479 (2023)
4. Athar, A., Asif, R.N., Saleem, M., Munir, S., Al Nasar, M.R., Momani, A.M.: Improving pneumonia detection in chest X-rays using transfer learning approach (AlexNet) and adversarial training. In: 2023 International Conference on Business Analytics for Technology and Security (ICBATS), pp. 1–7. IEEE (2023)
5. Barakat, N., Awad, M., Abu-Nabah, B.A.: A machine learning approach on chest X-rays for pediatric pneumonia detection. Digital Health 9, 20552076231180010 (2023)