APA (7th ed.) Citation

Nagayasu, Y., Inui, S., Ueda, Y., Masaoka, A., Tominaga, M., Miyazaki, M., & Konishi, K. (2024). Retrospective Comparison of Geometrical Accuracy among Atlas-based Auto-segmentation, Deep Learning Auto-segmentation, and Deformable Image Registration in the Treatment Replanning for Adaptive Radiotherapy of Head-and-Neck Cancer Journal of medical physics, 49(3), 335-342. https://doi.org/10.4103/jmp.jmp_39_24

Chicago Style (17th ed.) Citation

Nagayasu, Yukari, Shoki Inui, Yoshihiro Ueda, Akira Masaoka, Masahide Tominaga, Masayoshi Miyazaki, and Koji Konishi. "Retrospective Comparison of Geometrical Accuracy Among Atlas-based Auto-segmentation, Deep Learning Auto-segmentation, and Deformable Image Registration in the Treatment Replanning for Adaptive Radiotherapy of Head-and-Neck Cancer." Journal of Medical Physics 49, no. 3 (2024): 335-342. https://doi.org/10.4103/jmp.jmp_39_24.

MLA (9th ed.) Citation

Nagayasu, Yukari, et al. "Retrospective Comparison of Geometrical Accuracy Among Atlas-based Auto-segmentation, Deep Learning Auto-segmentation, and Deformable Image Registration in the Treatment Replanning for Adaptive Radiotherapy of Head-and-Neck Cancer." Journal of Medical Physics, vol. 49, no. 3, 2024, pp. 335-342, https://doi.org/10.4103/jmp.jmp_39_24.