Al-Hammad, W.E.; Kuroda, M.; Al Jamal, G.; Fujikura, M.; Kamizaki, R.; Kuroda, K.; Yoshida, S.; Nakamura, Y.; Oita, M.; Tanabe, Y.;
et al. Robustness of Machine Learning Predictions for Determining Whether Deep Inspiration Breath-Hold Is Required in Breast Cancer Radiation Therapy. Diagnostics 2025, 15, 668.
https://doi.org/10.3390/diagnostics15060668
AMA Style
Al-Hammad WE, Kuroda M, Al Jamal G, Fujikura M, Kamizaki R, Kuroda K, Yoshida S, Nakamura Y, Oita M, Tanabe Y,
et al. Robustness of Machine Learning Predictions for Determining Whether Deep Inspiration Breath-Hold Is Required in Breast Cancer Radiation Therapy. Diagnostics. 2025; 15(6):668.
https://doi.org/10.3390/diagnostics15060668
Chicago/Turabian Style
Al-Hammad, Wlla E., Masahiro Kuroda, Ghaida Al Jamal, Mamiko Fujikura, Ryo Kamizaki, Kazuhiro Kuroda, Suzuka Yoshida, Yoshihide Nakamura, Masataka Oita, Yoshinori Tanabe,
and et al. 2025. "Robustness of Machine Learning Predictions for Determining Whether Deep Inspiration Breath-Hold Is Required in Breast Cancer Radiation Therapy" Diagnostics 15, no. 6: 668.
https://doi.org/10.3390/diagnostics15060668
APA Style
Al-Hammad, W. E., Kuroda, M., Al Jamal, G., Fujikura, M., Kamizaki, R., Kuroda, K., Yoshida, S., Nakamura, Y., Oita, M., Tanabe, Y., Sugimoto, K., Sugianto, I., Barham, M., Tekiki, N., Hisatomi, M., & Asaumi, J.
(2025). Robustness of Machine Learning Predictions for Determining Whether Deep Inspiration Breath-Hold Is Required in Breast Cancer Radiation Therapy. Diagnostics, 15(6), 668.
https://doi.org/10.3390/diagnostics15060668
