Zhu, L.; Rwigema, J.-C.M.; Feng, X.; Ansari, B.; Duan, J.; Rong, Y.; Chen, Q.
Improving the Precision of Deep-Learning-Based Head and Neck Target Auto-Segmentation by Leveraging Radiology Reports Using a Large Language Model. Cancers 2025, 17, 1935.
https://doi.org/10.3390/cancers17121935
AMA Style
Zhu L, Rwigema J-CM, Feng X, Ansari B, Duan J, Rong Y, Chen Q.
Improving the Precision of Deep-Learning-Based Head and Neck Target Auto-Segmentation by Leveraging Radiology Reports Using a Large Language Model. Cancers. 2025; 17(12):1935.
https://doi.org/10.3390/cancers17121935
Chicago/Turabian Style
Zhu, Libing, Jean-Claude M. Rwigema, Xue Feng, Bilaal Ansari, Jingwei Duan, Yi Rong, and Quan Chen.
2025. "Improving the Precision of Deep-Learning-Based Head and Neck Target Auto-Segmentation by Leveraging Radiology Reports Using a Large Language Model" Cancers 17, no. 12: 1935.
https://doi.org/10.3390/cancers17121935
APA Style
Zhu, L., Rwigema, J.-C. M., Feng, X., Ansari, B., Duan, J., Rong, Y., & Chen, Q.
(2025). Improving the Precision of Deep-Learning-Based Head and Neck Target Auto-Segmentation by Leveraging Radiology Reports Using a Large Language Model. Cancers, 17(12), 1935.
https://doi.org/10.3390/cancers17121935