Zama, S.; Fujioka, T.; Yamaga, E.; Kubota, K.; Mori, M.; Katsuta, L.; Yashima, Y.; Sato, A.; Kawauchi, M.; Higuchi, S.;
et al. Clinical Utility of Breast Ultrasound Images Synthesized by a Generative Adversarial Network. Medicina 2024, 60, 14.
https://doi.org/10.3390/medicina60010014
AMA Style
Zama S, Fujioka T, Yamaga E, Kubota K, Mori M, Katsuta L, Yashima Y, Sato A, Kawauchi M, Higuchi S,
et al. Clinical Utility of Breast Ultrasound Images Synthesized by a Generative Adversarial Network. Medicina. 2024; 60(1):14.
https://doi.org/10.3390/medicina60010014
Chicago/Turabian Style
Zama, Shu, Tomoyuki Fujioka, Emi Yamaga, Kazunori Kubota, Mio Mori, Leona Katsuta, Yuka Yashima, Arisa Sato, Miho Kawauchi, Subaru Higuchi,
and et al. 2024. "Clinical Utility of Breast Ultrasound Images Synthesized by a Generative Adversarial Network" Medicina 60, no. 1: 14.
https://doi.org/10.3390/medicina60010014
APA Style
Zama, S., Fujioka, T., Yamaga, E., Kubota, K., Mori, M., Katsuta, L., Yashima, Y., Sato, A., Kawauchi, M., Higuchi, S., Kawanishi, M., Ishiba, T., Oda, G., Nakagawa, T., & Tateishi, U.
(2024). Clinical Utility of Breast Ultrasound Images Synthesized by a Generative Adversarial Network. Medicina, 60(1), 14.
https://doi.org/10.3390/medicina60010014