AAI_2025_Capstone_Chronicles_Combined

Nawaz, M., Nazir, T., Baili, J., Khan, M. A., Kim, Y. J., & Cha, J. H. (2023). CXray-EffDet: Chest disease detection and classification from X-ray images using the EfficientDet model. Diagnostics, 13 (2), 248. https://doi.org/10.3390/diagnostics13020248 Rajpurkar, P., Irvin, J., Ball, R. L., Zhu, K., Yang, B., Mehta, H., ... & Lungren, M. P. (2018). Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists. PLOS Medicine, 15 (11), e1002686. https://doi.org/10.1371/journal.pmed.1002686 Wang, X., Peng, Y., Lu, L., Lu, Z., Bagheri, M., & Summers, R. M. (2017). ChestX-ray8: Hospital-scale chest X-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 3462–3471. https://doi.org/10.1109/CVPR.2017.369

Oakden-Rayner, L. (2020). Exploring large-scale public medical image datasets. Academic Radiology, 27 (1), 106–112. https://doi.org/10.1016/j.acra.2019.09.013

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