AAI_2025_Capstone_Chronicles_Combined

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http://www.ncbi.nlm.nih.gov/books/NBK 448146/ Yao, L., Guan, X., Song, X., Tan, Y., Wang, C., Jin, C., Chen, M., Wang, H., & Zhang, M. (2021). Rib fracture detection system based on deep learning. Scientific Reports , 11 (1), 23513. https://doi.org/10.1038/s41598-021-03002 -7 Yu, T., Liu, J., Zhang, C., & Zhang, Y. (2025). A review of DEtection TRansformer: From basic architecture to advanced developments and visual perception applications. Sensors , 25 (13), 3952. https://doi.org/10.3390/s25133952 Zech, J. R., Badgeley, M. A., Liu, M., Costa, A. B., Titano, J. J., & Oermann, E. K. (2018). Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study. PLOS Medicine , 15 (11), e1002683. https://doi.org/10.1371/journal.pmed.1002 683 Zhao, Y., Wang, Z., Liu, X., Chen, Q., Li, C., Zhao, H., & Wang, Z. (2022). Pulmonary nodule detection based on multiscale feature fusion. Computational and Mathematical Methods in Medicine , 2022 , 8903037. https://doi.org/10.1155/2022/8903037 Zhu, X., Su, W., Lu, L., Li, B., Wang, X., & Dai, J. (2021). Deformable DETR: Deformable transformers for end-to-end object detection. International Conference on Learning Representations (ICLR) . https://openreview.net/forum?id=gZ9hCD wcAd

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