AAI_2025_Capstone_Chronicles_Combined

References

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Rajpurkar, P., Irvin, J., Zhu, K., Yang, B., Mehta, H., Duan, T., … Ng, A. Y. (2017). CheXNet: Radiologist-level pneumonia detection on chest X-rays with deep learning. arXiv preprint , arXiv:1711.05225. Tan, M., & Le, Q. V. (2019). EfficientNet: Rethinking model scaling for convolutional neural networks. In Proceedings of the 36th International Conference on Machine Learning (ICML) (pp. 6105–6114). Baltruschat, I. M., Nickisch, H., Grass, M., Knopp, T., & Saalbach, A. (2019). Comparison of deep learning approaches for multi-label chest X-ray classification. Scientific Reports, 9(1), 6381. https://doi.org/10.1038/s41598-019-42521-2 Kufel, J., Bielówka, M., Rojek, M., Mitręga, A., Lewandowski, P., & Nawrat, Z. (2023). Multi-label classification of chest X-ray abnormalities using transfer learning techniques. Journal of Personalized Medicine, 13 (10), 1426. https://doi.org/10.3390/jpm13101426

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